SlideShare a Scribd company logo
1 of 54
Proteins in 3D Viewing Biological Molecules in the Classroom   OEIT | MIT | Star Lourdes Aleman | Molly Ruggles
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is STAR? Software Tools for Academics & Researchers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
User-centered tools faithful to the science foundations of the domains they represent.
[object Object],[object Object],[object Object],[object Object],What makes Star Tools Unique
StarBiochem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Handout for downloading and installing StarBiochem
StarBiochem embraces qualities of both educational & research tools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
StarBiochem History ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],TEALSim is an open-source java-based  framework ,[object Object],[object Object],[object Object],[object Object]
TealSim visualization: Helmholtz Coil
TEALSim  -->  Star Biochem Parser to interpret data from PDB Specs to render data visually Schubert & Ceraj:  adapt TEALSim to other disciplines. Graham Walker:  improve comprehension (Biology) Physics data:  not much computation:  lots Biology data:  lots  computation:  not much
DNA GLYCOSYLASE (1EBM)
[object Object],[object Object]
Proteins perform many important biological functions hemoglobin carry oxygen in the blood F1 ATPase generate energy antibody protect against infections aquaporin water transport microtubules cell division Protein Data Bank website
The function of a protein is determined by its structure structure function
[object Object],[object Object],[object Object],StarBiochem can be used to understand  biology concepts  & their  medical implications
[object Object],[object Object],[object Object],StarBiochem can be used to understand  biology concepts  & their  medical implications
Understanding how proteins work DNA repair proteins
10,000,000,000,000,000
Mutations often result in disease mutations cancer
Where do mutations come from?
DNA mutations can be caused  by various agents cancer mutations
DNA mutations can be caused  by various agents UV rays (sun)  oxidation (respiration, radiation, smoking) toxic chemicals (industrial & environmental)   X-rays (clinic) viruses (HPV) cancer mutations endogenous (DNA replication)
DNA mutations can be caused  by various agents UV rays (sun)  oxidation (respiration, radiation, smoking) toxic chemicals (industrial & environmental)  X-rays (clinic) viruses (HPV) cancer mutations endogenous (DNA replication) DNA glycosylases
How does DNA glycosylase recognize oxidated DNA bases? StarBiochem:  human DNA glycosylase  (1EBM)
 
 
 
 
 
 
 
 
 
 
Structure of human DNA glycosylase structure human DNA glycosylase & DNA function recognition of damaged DNA bases
Understanding the basis of disease Sickle cell anemia
Sickle  cell anemia  severe bone pain and death stroke enlarged heart bloodstream infections and pneumonia www.commercialappeal.com
A mutation in hemoblogin causes sickle cell anemia University of Utah Learn Genetics website
Why is hemoglobin sticky in sickle cell anemia patients?  StarBiochem:  sickle hemoglobin  (2HBS)
 
 
 
 
 
 
Structure of sickle hemoglobin structure mutated amino acid in hemoglobin Disease Val 6 location in hemoglobin makes it sticky
Conclusion ,[object Object],[object Object],[object Object],structure function health/disease
Current StarBiochem classroom applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Educational benefits ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What next? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you! Star Team: Chuck Shubert Ivan Ceraj Rocklyn Clarke Justin Riley Sara Bonner TeamSim Team: Andrew McKinney Kirky DeLong Other Supporters: John Belcher Graham Walker Megan Rokop Kathy Vandiver Phil Bailey Vikay Kumar Peter Wilkins Dr. Lourdes Aleman  [email_address]  | Molly Ruggles  [email_address]

More Related Content

What's hot

Results Vary: The Pragmatics of Reproducibility and Research Object Frameworks
Results Vary: The Pragmatics of Reproducibility and Research Object FrameworksResults Vary: The Pragmatics of Reproducibility and Research Object Frameworks
Results Vary: The Pragmatics of Reproducibility and Research Object FrameworksCarole Goble
 
Scott Edmunds @ Balti & Bioinformatics: New Models in Open Data Publishing
Scott Edmunds @ Balti & Bioinformatics: New Models in Open Data PublishingScott Edmunds @ Balti & Bioinformatics: New Models in Open Data Publishing
Scott Edmunds @ Balti & Bioinformatics: New Models in Open Data PublishingGigaScience, BGI Hong Kong
 
RARE and FAIR Science: Reproducibility and Research Objects
RARE and FAIR Science: Reproducibility and Research ObjectsRARE and FAIR Science: Reproducibility and Research Objects
RARE and FAIR Science: Reproducibility and Research ObjectsCarole Goble
 
Scott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data era
Scott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data eraScott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data era
Scott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data eraGigaScience, BGI Hong Kong
 
Multi-Omics Bioinformatics across Application Domains
Multi-Omics Bioinformatics across Application DomainsMulti-Omics Bioinformatics across Application Domains
Multi-Omics Bioinformatics across Application DomainsChristoph Steinbeck
 
McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...
McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...
McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...George McNamara
 
FAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use CaseFAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use CaseRothamsted Research, UK
 
Pistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance
 
Next Generation Data and Opportunities for Clinical Pharmacologists
Next Generation Data and Opportunities for Clinical PharmacologistsNext Generation Data and Opportunities for Clinical Pharmacologists
Next Generation Data and Opportunities for Clinical PharmacologistsPhilip Bourne
 
Presentation cybernetics immunology-ver1.0 (for-criticism) - copy
Presentation cybernetics immunology-ver1.0 (for-criticism) - copyPresentation cybernetics immunology-ver1.0 (for-criticism) - copy
Presentation cybernetics immunology-ver1.0 (for-criticism) - copyEmadFaragHABIB
 
Zebrafish and Data Management Midterm Project
Zebrafish and Data Management Midterm ProjectZebrafish and Data Management Midterm Project
Zebrafish and Data Management Midterm ProjectJulie Goldman
 
Gcc talk baltimore july 2014
Gcc talk baltimore july 2014Gcc talk baltimore july 2014
Gcc talk baltimore july 2014pratikomics
 
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...GigaScience, BGI Hong Kong
 
Interoperable Data for KnetMiner and DFW Use Cases
Interoperable Data for KnetMiner and DFW Use CasesInteroperable Data for KnetMiner and DFW Use Cases
Interoperable Data for KnetMiner and DFW Use CasesRothamsted Research, UK
 

What's hot (18)

Results Vary: The Pragmatics of Reproducibility and Research Object Frameworks
Results Vary: The Pragmatics of Reproducibility and Research Object FrameworksResults Vary: The Pragmatics of Reproducibility and Research Object Frameworks
Results Vary: The Pragmatics of Reproducibility and Research Object Frameworks
 
Scott Edmunds @ Balti & Bioinformatics: New Models in Open Data Publishing
Scott Edmunds @ Balti & Bioinformatics: New Models in Open Data PublishingScott Edmunds @ Balti & Bioinformatics: New Models in Open Data Publishing
Scott Edmunds @ Balti & Bioinformatics: New Models in Open Data Publishing
 
MIT STAR
MIT STARMIT STAR
MIT STAR
 
MIT STAR
MIT STARMIT STAR
MIT STAR
 
RARE and FAIR Science: Reproducibility and Research Objects
RARE and FAIR Science: Reproducibility and Research ObjectsRARE and FAIR Science: Reproducibility and Research Objects
RARE and FAIR Science: Reproducibility and Research Objects
 
Scott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data era
Scott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data eraScott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data era
Scott Edmunds ICIS talk at UC Davis: Open Publishing for the Big Data era
 
Multi-Omics Bioinformatics across Application Domains
Multi-Omics Bioinformatics across Application DomainsMulti-Omics Bioinformatics across Application Domains
Multi-Omics Bioinformatics across Application Domains
 
McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...
McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...
McNamara George 20160411 NIH Biosketch SF424R new format 201505 five pages pl...
 
FAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use CaseFAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use Case
 
Pistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier Datathon
 
Next Generation Data and Opportunities for Clinical Pharmacologists
Next Generation Data and Opportunities for Clinical PharmacologistsNext Generation Data and Opportunities for Clinical Pharmacologists
Next Generation Data and Opportunities for Clinical Pharmacologists
 
Presentation cybernetics immunology-ver1.0 (for-criticism) - copy
Presentation cybernetics immunology-ver1.0 (for-criticism) - copyPresentation cybernetics immunology-ver1.0 (for-criticism) - copy
Presentation cybernetics immunology-ver1.0 (for-criticism) - copy
 
Zebrafish and Data Management Midterm Project
Zebrafish and Data Management Midterm ProjectZebrafish and Data Management Midterm Project
Zebrafish and Data Management Midterm Project
 
EVQLV Deck
EVQLV Deck EVQLV Deck
EVQLV Deck
 
Gcc talk baltimore july 2014
Gcc talk baltimore july 2014Gcc talk baltimore july 2014
Gcc talk baltimore july 2014
 
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
 
KnetMiner - EBI Workshop 2017
KnetMiner - EBI Workshop 2017KnetMiner - EBI Workshop 2017
KnetMiner - EBI Workshop 2017
 
Interoperable Data for KnetMiner and DFW Use Cases
Interoperable Data for KnetMiner and DFW Use CasesInteroperable Data for KnetMiner and DFW Use Cases
Interoperable Data for KnetMiner and DFW Use Cases
 

Viewers also liked

Visualization library and tools
Visualization library and toolsVisualization library and tools
Visualization library and toolsseung hyun Seo
 
Protein modeling with discovery studio
Protein modeling with discovery studioProtein modeling with discovery studio
Protein modeling with discovery studioKisun_bioinfo
 
Visualization Approaches for Biomedical Omics Data: Putting It All Together
Visualization Approaches for Biomedical Omics Data: Putting It All TogetherVisualization Approaches for Biomedical Omics Data: Putting It All Together
Visualization Approaches for Biomedical Omics Data: Putting It All TogetherNils Gehlenborg
 
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSDRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSNIPER MOHALI
 
3D cell culture techniques for the tumor models
3D cell culture techniques for the tumor models3D cell culture techniques for the tumor models
3D cell culture techniques for the tumor modelsDurgesh Jha
 
Computation and visualization of protein topology graphs including ligands
Computation and visualization of protein topology graphs including ligandsComputation and visualization of protein topology graphs including ligands
Computation and visualization of protein topology graphs including ligandsTim Schäfer
 

Viewers also liked (8)

Visualization library and tools
Visualization library and toolsVisualization library and tools
Visualization library and tools
 
Protein modeling with discovery studio
Protein modeling with discovery studioProtein modeling with discovery studio
Protein modeling with discovery studio
 
IVITCMDtalk
IVITCMDtalkIVITCMDtalk
IVITCMDtalk
 
Visualization Approaches for Biomedical Omics Data: Putting It All Together
Visualization Approaches for Biomedical Omics Data: Putting It All TogetherVisualization Approaches for Biomedical Omics Data: Putting It All Together
Visualization Approaches for Biomedical Omics Data: Putting It All Together
 
Classifiaction & visualization of infective agents
Classifiaction & visualization of infective agentsClassifiaction & visualization of infective agents
Classifiaction & visualization of infective agents
 
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSDRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
 
3D cell culture techniques for the tumor models
3D cell culture techniques for the tumor models3D cell culture techniques for the tumor models
3D cell culture techniques for the tumor models
 
Computation and visualization of protein topology graphs including ligands
Computation and visualization of protein topology graphs including ligandsComputation and visualization of protein topology graphs including ligands
Computation and visualization of protein topology graphs including ligands
 

Similar to Proteins in 3D, NMC 2009

Howard university presentation ver3
Howard university presentation ver3Howard university presentation ver3
Howard university presentation ver3lourdesaleman
 
Molecular and data visualization in drug discovery
Molecular and data visualization in drug discoveryMolecular and data visualization in drug discovery
Molecular and data visualization in drug discoveryDeepak Bandyopadhyay
 
Being Reproducible: SSBSS Summer School 2017
Being Reproducible: SSBSS Summer School 2017Being Reproducible: SSBSS Summer School 2017
Being Reproducible: SSBSS Summer School 2017Carole Goble
 
Data at the NIH: Some Early Thoughts
Data at the NIH: Some Early ThoughtsData at the NIH: Some Early Thoughts
Data at the NIH: Some Early ThoughtsPhilip Bourne
 
2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europeopen_phacts
 
Session ii g2 overview chemical modeling mmc
Session ii g2 overview chemical modeling mmcSession ii g2 overview chemical modeling mmc
Session ii g2 overview chemical modeling mmcUSD Bioinformatics
 
Ccp2011 9 faces_of_success
Ccp2011 9 faces_of_successCcp2011 9 faces_of_success
Ccp2011 9 faces_of_successbio-link
 
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...Amit Sheth
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesJosef Scheiber
 
Biomedical Research as Part of the Digital Enterprise
Biomedical Research as Part of the Digital EnterpriseBiomedical Research as Part of the Digital Enterprise
Biomedical Research as Part of the Digital EnterprisePhilip Bourne
 
Developing data services: a tale from two Oregon universities
Developing data services: a tale from two Oregon universitiesDeveloping data services: a tale from two Oregon universities
Developing data services: a tale from two Oregon universitiesAmanda Whitmire
 
Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011
Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011
Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011Adam Ford
 
01. Introduction to Bioinformatics.pptx
01. Introduction to Bioinformatics.pptx01. Introduction to Bioinformatics.pptx
01. Introduction to Bioinformatics.pptxHussainTaqi1
 
Introduction to Bioinformatics.
 Introduction to Bioinformatics. Introduction to Bioinformatics.
Introduction to Bioinformatics.Elena Sügis
 
Stem cell pipeline_summer_fellows_talk
Stem cell pipeline_summer_fellows_talkStem cell pipeline_summer_fellows_talk
Stem cell pipeline_summer_fellows_talkbio-link
 
Web Science, SADI, and the Singularity
Web Science, SADI, and the SingularityWeb Science, SADI, and the Singularity
Web Science, SADI, and the SingularityMark Wilkinson
 

Similar to Proteins in 3D, NMC 2009 (20)

Howard university presentation ver3
Howard university presentation ver3Howard university presentation ver3
Howard university presentation ver3
 
Molecular and data visualization in drug discovery
Molecular and data visualization in drug discoveryMolecular and data visualization in drug discovery
Molecular and data visualization in drug discovery
 
Being Reproducible: SSBSS Summer School 2017
Being Reproducible: SSBSS Summer School 2017Being Reproducible: SSBSS Summer School 2017
Being Reproducible: SSBSS Summer School 2017
 
Data at the NIH: Some Early Thoughts
Data at the NIH: Some Early ThoughtsData at the NIH: Some Early Thoughts
Data at the NIH: Some Early Thoughts
 
Some Early Thoughts
Some Early ThoughtsSome Early Thoughts
Some Early Thoughts
 
2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe
 
Session ii g2 overview chemical modeling mmc
Session ii g2 overview chemical modeling mmcSession ii g2 overview chemical modeling mmc
Session ii g2 overview chemical modeling mmc
 
Ccp2011 9 faces_of_success
Ccp2011 9 faces_of_successCcp2011 9 faces_of_success
Ccp2011 9 faces_of_success
 
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use Cases
 
Abbott presentation
Abbott presentationAbbott presentation
Abbott presentation
 
Biomedical Research as Part of the Digital Enterprise
Biomedical Research as Part of the Digital EnterpriseBiomedical Research as Part of the Digital Enterprise
Biomedical Research as Part of the Digital Enterprise
 
Developing data services: a tale from two Oregon universities
Developing data services: a tale from two Oregon universitiesDeveloping data services: a tale from two Oregon universities
Developing data services: a tale from two Oregon universities
 
Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011
Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011
Ben Goertzel AIs, Superflies and the Path to Immortality - singsum au 2011
 
Pathogen Genome Data
Pathogen Genome DataPathogen Genome Data
Pathogen Genome Data
 
01. Introduction to Bioinformatics.pptx
01. Introduction to Bioinformatics.pptx01. Introduction to Bioinformatics.pptx
01. Introduction to Bioinformatics.pptx
 
Introduction to Bioinformatics.
 Introduction to Bioinformatics. Introduction to Bioinformatics.
Introduction to Bioinformatics.
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Stem cell pipeline_summer_fellows_talk
Stem cell pipeline_summer_fellows_talkStem cell pipeline_summer_fellows_talk
Stem cell pipeline_summer_fellows_talk
 
Web Science, SADI, and the Singularity
Web Science, SADI, and the SingularityWeb Science, SADI, and the Singularity
Web Science, SADI, and the Singularity
 

Recently uploaded

How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfadityarao40181
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxAvyJaneVismanos
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonJericReyAuditor
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 

Recently uploaded (20)

How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdf
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptx
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lesson
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 

Proteins in 3D, NMC 2009

  • 1. Proteins in 3D Viewing Biological Molecules in the Classroom OEIT | MIT | Star Lourdes Aleman | Molly Ruggles
  • 2.
  • 3.
  • 4. User-centered tools faithful to the science foundations of the domains they represent.
  • 5.
  • 6.
  • 7.
  • 8. Handout for downloading and installing StarBiochem
  • 9.
  • 10.
  • 11.
  • 13. TEALSim --> Star Biochem Parser to interpret data from PDB Specs to render data visually Schubert & Ceraj: adapt TEALSim to other disciplines. Graham Walker: improve comprehension (Biology) Physics data: not much computation: lots Biology data: lots computation: not much
  • 15.
  • 16. Proteins perform many important biological functions hemoglobin carry oxygen in the blood F1 ATPase generate energy antibody protect against infections aquaporin water transport microtubules cell division Protein Data Bank website
  • 17. The function of a protein is determined by its structure structure function
  • 18.
  • 19.
  • 20. Understanding how proteins work DNA repair proteins
  • 22. Mutations often result in disease mutations cancer
  • 23. Where do mutations come from?
  • 24. DNA mutations can be caused by various agents cancer mutations
  • 25. DNA mutations can be caused by various agents UV rays (sun) oxidation (respiration, radiation, smoking) toxic chemicals (industrial & environmental) X-rays (clinic) viruses (HPV) cancer mutations endogenous (DNA replication)
  • 26. DNA mutations can be caused by various agents UV rays (sun) oxidation (respiration, radiation, smoking) toxic chemicals (industrial & environmental) X-rays (clinic) viruses (HPV) cancer mutations endogenous (DNA replication) DNA glycosylases
  • 27. How does DNA glycosylase recognize oxidated DNA bases? StarBiochem: human DNA glycosylase (1EBM)
  • 28.  
  • 29.  
  • 30.  
  • 31.  
  • 32.  
  • 33.  
  • 34.  
  • 35.  
  • 36.  
  • 37.  
  • 38. Structure of human DNA glycosylase structure human DNA glycosylase & DNA function recognition of damaged DNA bases
  • 39. Understanding the basis of disease Sickle cell anemia
  • 40. Sickle cell anemia severe bone pain and death stroke enlarged heart bloodstream infections and pneumonia www.commercialappeal.com
  • 41. A mutation in hemoblogin causes sickle cell anemia University of Utah Learn Genetics website
  • 42. Why is hemoglobin sticky in sickle cell anemia patients? StarBiochem: sickle hemoglobin (2HBS)
  • 43.  
  • 44.  
  • 45.  
  • 46.  
  • 47.  
  • 48.  
  • 49. Structure of sickle hemoglobin structure mutated amino acid in hemoglobin Disease Val 6 location in hemoglobin makes it sticky
  • 50.
  • 51.
  • 52.
  • 53.
  • 54. Thank you! Star Team: Chuck Shubert Ivan Ceraj Rocklyn Clarke Justin Riley Sara Bonner TeamSim Team: Andrew McKinney Kirky DeLong Other Supporters: John Belcher Graham Walker Megan Rokop Kathy Vandiver Phil Bailey Vikay Kumar Peter Wilkins Dr. Lourdes Aleman [email_address] | Molly Ruggles [email_address]

Editor's Notes

  1. Before you get a chance to explore StarBiochem, I would like to provide a bit of context for why protein structure is worth teaching. We will then move on to use StarBiochem to illustrate some of the central teaching points that this software is perfectly suited for. As Molly previously mentioned, protein structures deal with 3D relationships. Therefore, faculty and teachers face the challenge of communicating and explaining these 3D relationships in traditional classrooms, where 2D mediums are prevalent.
  2. Why is it that understanding protein structure is an important educational goal in biology classrooms? Proteins are the cells work horses, performing most of the cell’s function. Here are five different proteins that have important functions. Hemoglobin carries oxygen from the lungs to the rest of the body. F1 ATPase produces the energy necessary that allows you to breath, walk, think, etc. Antibodies protect us from current and future infections. Microtubules form the skeleton of the cell and are responsible for properly dividing the DNA content of the cell into two identical halves during cell division. Aquaporins are the proteins that allow the passage of H2O in and out of cells. What is apparent from these examples is that proteins come in many sizes and shapes. Some are globular, others look like long hollow cylinders and others have very unique shapes.
  3. This diversity in 3D structures has a functional consequence, because the structure of a protein determines its function. In other words, the structure of a protein is directly linked to the specific function that a protein is responsible for. Therefore to understand how a particular protein performs an specific function we turn to its structure.
  4. StarBiochem allows us to look at protein structures and for all the reasons that Molly previously mentioned, this tool is ideal for educational purposes. Using StarBiochem we can teach our students various concepts, which can be grouped into the following categories. Faculty and teachers can use StarBiochem to learn how the structure of a protein determines its function. In addition, using StarBiochem students can learn how alterations in the structure of a protein caused by mutations can affect how the function of a protein leading to disease. Last but not least the understanding of how the change in the structure of a protein causes disease can lead to the development of smart drugs that act very specifically to inhibit the function of only the altered proteins and nothing else.
  5. Today we are actually going to do two case studies to illustrate how the understanding of protein structure leads to the understanding of how proteins work and what causes disease and also to give you the opportunity to play with StarBiochem.
  6. To exploring the relationship between protein structure and function we will turn to DNA repair proteins.
  7. 10, 000 trillion is the number of DNA mistakes that accumulate per person, per day. This is an extraordinary amount of DNA mistakes that can lead to DNA mutations. 500 are 8oxo Guanine
  8. If these mistakes are not repaired, they can eventually lead to disease, in particular to the development of cancer. In fact cancer is a complex disease involving the accumulation of mutations in central proteins that control how cells grow and divide.
  9. I have highlighted several here. DNA mutations can be caused by external agents, such as X-rays, toxic industrial chemical smoking and particular kinds of viruses. In additional DNA mistakes can also be caused by subtances found naturally in the environment such as UV rays, radiation and natural body processes such as breathing and DNA replication.
  10. Today, we will be exploring a particular kind of mutation called oxidation, which is simply caused by the addition of oxygen radicals and the proteins that help repair this types of mistakes called DNA glycosylases.
  11. In particular, the question that we will try to answer is how DNA glycosylase recognizes DNA mistakes that are caused by oxidation. To do this let’s no turn to StarBiochem.
  12. I hope that this small hands-on activity allows you to appreciate how the structure of this protein in its relationship to DNA allows us to visualize how this protein works to recognize damaged DNA bases.
  13. Now, I will like to turn your attention to the second teaching point that we will be exploring today and for this hands on activity we will be using sickle cell anemia as a case study.
  14. Sickle cell anemia is a recessive genetically inherited disease of the blood. It has pretty severe symptoms and medical consequences. Patients with sickle cell anemia have severe bone pain. Sickle cell anemia can lead to stroke and other cardiovascular complications such as an enlarged heart and severe infections.
  15. The reason sickle cell anemia leads to such severe medical problems is because of a mutation in hemoglobin. Hemoglobin is a protein found in red blood cells that is responsible for binding oxygen in the lungs and distributing it throughout the body. In normal red blood cells hemoglobin is freely floating. Normal red blood cells are shaped are compact and flexible allowing them to squeeze through small capillaries. In patients with sickle cell anemia, hemoglobin is sticky and likes to form long, inflexible chains with other hemoglobin molecules. This long inflexible hemoglobin chains, distorted the shape of red blood cells, causing them to become elongated and inflexible. This causes sickle red blood cells to become stuck in small capillaries. This is the reason why patients with this disease often have strokes, enlarged hearts and infections.
  16. What makes hemoglobin sticky in patients with sickle cell anemia? To understand this issue, we now turn to the structure of sickle hemoglobin in StarBiochem.
  17. I hope that this small hands-on activity allows you to appreciate how the altered structure sickle hemoglobin, in particular the lysine amino acid at position 6, alters the function of this protein, making it sticky and causing this severe disease.
  18. To summarize this section of the talk, we can use StarBiochem to teach our students about the relationship between protein structure, their function and disease. We believe that using StarBiochem, students will be able to deepen their understanding of basic biology concepts, while becoming more engaged in the process. Hopefully the usage of StarBiochem also leads to an increase in curiosity and interest in science.
  19. StarBiochem has been used in both undergraduate and high school settings inside and outside of MIT.