CINF 4: Naming algorithms for derivatives of peptide-like natural productsNextMove Software
The nomenclature of natural products is a highly specialized field of biochemistry. Fortunately, some classes of natural products are more amenable to computer analysis than others. Non-ribosomal peptides and heavily post-translationally modified peptides, such as derivatives of the homodetic cycles gramicidin S and the cyclic depsi-peptide valinomycin and the natural product cyclic isopeptides anantin and sungsanpin push the current state-of-the-art in automated natural product naming. Where a compound is structurally related to an existing peptide, perceiving this relationship is required for generating succinct human understandable names. In this talk, we describe the use of databases/dictionaries based upon HELM notation and IUPAC's condensed line notations for specifying 'parent' peptides from which derivatives and analogues can be named. Using the described techniques the name '[5-L-valine]dichotomin C' may be assigned to the cyclic peptide CHEMBL478596. These techniques have been successfully used to identify and correct naming issues in the UniProt and IUPhar/BPS guide to pharmacology databases, which have then been updated by their curators.
CINF 4: Naming algorithms for derivatives of peptide-like natural productsNextMove Software
The nomenclature of natural products is a highly specialized field of biochemistry. Fortunately, some classes of natural products are more amenable to computer analysis than others. Non-ribosomal peptides and heavily post-translationally modified peptides, such as derivatives of the homodetic cycles gramicidin S and the cyclic depsi-peptide valinomycin and the natural product cyclic isopeptides anantin and sungsanpin push the current state-of-the-art in automated natural product naming. Where a compound is structurally related to an existing peptide, perceiving this relationship is required for generating succinct human understandable names. In this talk, we describe the use of databases/dictionaries based upon HELM notation and IUPAC's condensed line notations for specifying 'parent' peptides from which derivatives and analogues can be named. Using the described techniques the name '[5-L-valine]dichotomin C' may be assigned to the cyclic peptide CHEMBL478596. These techniques have been successfully used to identify and correct naming issues in the UniProt and IUPhar/BPS guide to pharmacology databases, which have then been updated by their curators.
Fuente: http://www.qtmexico.com/general/lo-que-en-realidad-nos-gusta-a-las-mujeres/
Tips para enamorar a una mujer
Los códigos de seducción han cambiado. La lucha por la igualdad hombre / mujer y los nuevos territorios conquistados por
ellas, pusieron patas arriba todo lo establecido. Para convocar a Cupido con éxito, los hombres deben reinventar sus
estrategias. ¿De qué manera seducir a una mujer hoy? Nuestro plan, en 7 puntos, con Alexandre Roth, autor de “Hombre
seductor”.
Después de la revolución feminista las mujeres imponen nuevos códigos amorosos a los hombres, haciendo que estos últimos,
acorazados por siglos educativos, dejen sus territorios. En una sociedad en pleno cambio, los hombres no saben de qué forma
actuar en frente de los deseos de las mujeres que en ocasiones pueden parecer contradictorios: reivindican la necesidad de
ser valoradas y también conquistadas.
No obstante, favorecer tu potencial de seducción conjugando vulnerabilidad y hombría, es posible: gustarse es la mejor manera
de gustar a las mujeres. Alexandre Roth, fundador de una agencia de coaching para hombres, plantea un enfoque más global
de la seducción, entre desarrollo personal e investigación de estilo
Aprende esta rara técnica de seduccionHector Lopez
Fuente: http://tecnicasdeseduccion.org/aprende-esta-rara-tecnica-de-seduccion/
Muchos chicos no tienen idea de sus distracciones personales ? las cosas que la hacen incapaz de tener relaciones sexuales.
Posiblemente quiera tener sexo con usted, pero es posible que no desee tener relaciones sexuales en una habitación
desordenada (por servirnos de un ejemplo).
Ella puede estar deseando el sexo o por lo menos abiertos a la idea de un segundo, mas no abierto a la idea de tener
relaciones sexuales un poco más adelante, cuando está agotada.
Para aprovechar al máximo sus ocasiones, es necesario suprimir los obstáculos que le apague y luego añadir las cosas que la
enciende.
Por ejemplo:
Sería bueno para empezar el sexo en una habitación limpia.
Sería mejor para iniciar el sexo en una habitación limpia con velas o de reproducción de música
Fuente: http://tecnicasdeseduccion.org/como-enamorar-a-una-mujer/
Decirle que la quieres demasiado pronto va a tener el mismo efecto que el punto anterior: va a saber que te tiene
y eso no le
agrada a ninguna mujer
. Lo mismo ocurrirá con cualquier otra cosa que le afirmes y le de a comprender que ya te tiene.
Más del 90 por ciento de los hombres comenten alguno de estos tres errores.
Si consigues evitarlos tendrás la mayoría del
camino andado, ahora vamos a recorrer la parte que nos falta
Cross-Kingdom Standards in Genomics, Epigenomics and Metagenomics Christopher Mason
Challenges and biases in preparing, characterizing, and sequencing DNA and RNA can have significant impacts on research in genomics across all kingdoms of life, including experiments in single cells, RNA profiling, and metagenomics. Technical artifacts and contaminations can arise at each point of sample manipulation, extraction, sequencing, and analysis. Thus, the measurement and benchmarking of these potential sources of error are of paramount importance as next-generation sequencing (NGS) projects become more global and ubiquitous.
Fortunately, a variety of methods, standards, and technologies have recently emerged that improve measurements in genomics and sequencing, from the initial input material to the computational pipelines that process and annotate the data.
This webinar will review work to develop standards and their applications in genomics, including the ABRF-NGS Phase II NGS Study on DNA Sequencing; the FDA’s Sequencing Quality Control Consortium (SEQC2); metagenomics standards efforts (ABRF, ATCC, Zymo, Metaquins), and the Epigenomics QC group of the SEQC2. The webinar will also review he computational methods for detection, validation, and implementation of these genomic measures.
Special Focus Topic: Synthetic Biology
Title: The Next Phase of Biology - Synthetic Biology for Synthetic
Professor Jay Keasling, Joint Bioenergy Institute, Berkeley, CA
Fuente: http://www.qtmexico.com/general/lo-que-en-realidad-nos-gusta-a-las-mujeres/
Tips para enamorar a una mujer
Los códigos de seducción han cambiado. La lucha por la igualdad hombre / mujer y los nuevos territorios conquistados por
ellas, pusieron patas arriba todo lo establecido. Para convocar a Cupido con éxito, los hombres deben reinventar sus
estrategias. ¿De qué manera seducir a una mujer hoy? Nuestro plan, en 7 puntos, con Alexandre Roth, autor de “Hombre
seductor”.
Después de la revolución feminista las mujeres imponen nuevos códigos amorosos a los hombres, haciendo que estos últimos,
acorazados por siglos educativos, dejen sus territorios. En una sociedad en pleno cambio, los hombres no saben de qué forma
actuar en frente de los deseos de las mujeres que en ocasiones pueden parecer contradictorios: reivindican la necesidad de
ser valoradas y también conquistadas.
No obstante, favorecer tu potencial de seducción conjugando vulnerabilidad y hombría, es posible: gustarse es la mejor manera
de gustar a las mujeres. Alexandre Roth, fundador de una agencia de coaching para hombres, plantea un enfoque más global
de la seducción, entre desarrollo personal e investigación de estilo
Aprende esta rara técnica de seduccionHector Lopez
Fuente: http://tecnicasdeseduccion.org/aprende-esta-rara-tecnica-de-seduccion/
Muchos chicos no tienen idea de sus distracciones personales ? las cosas que la hacen incapaz de tener relaciones sexuales.
Posiblemente quiera tener sexo con usted, pero es posible que no desee tener relaciones sexuales en una habitación
desordenada (por servirnos de un ejemplo).
Ella puede estar deseando el sexo o por lo menos abiertos a la idea de un segundo, mas no abierto a la idea de tener
relaciones sexuales un poco más adelante, cuando está agotada.
Para aprovechar al máximo sus ocasiones, es necesario suprimir los obstáculos que le apague y luego añadir las cosas que la
enciende.
Por ejemplo:
Sería bueno para empezar el sexo en una habitación limpia.
Sería mejor para iniciar el sexo en una habitación limpia con velas o de reproducción de música
Fuente: http://tecnicasdeseduccion.org/como-enamorar-a-una-mujer/
Decirle que la quieres demasiado pronto va a tener el mismo efecto que el punto anterior: va a saber que te tiene
y eso no le
agrada a ninguna mujer
. Lo mismo ocurrirá con cualquier otra cosa que le afirmes y le de a comprender que ya te tiene.
Más del 90 por ciento de los hombres comenten alguno de estos tres errores.
Si consigues evitarlos tendrás la mayoría del
camino andado, ahora vamos a recorrer la parte que nos falta
Cross-Kingdom Standards in Genomics, Epigenomics and Metagenomics Christopher Mason
Challenges and biases in preparing, characterizing, and sequencing DNA and RNA can have significant impacts on research in genomics across all kingdoms of life, including experiments in single cells, RNA profiling, and metagenomics. Technical artifacts and contaminations can arise at each point of sample manipulation, extraction, sequencing, and analysis. Thus, the measurement and benchmarking of these potential sources of error are of paramount importance as next-generation sequencing (NGS) projects become more global and ubiquitous.
Fortunately, a variety of methods, standards, and technologies have recently emerged that improve measurements in genomics and sequencing, from the initial input material to the computational pipelines that process and annotate the data.
This webinar will review work to develop standards and their applications in genomics, including the ABRF-NGS Phase II NGS Study on DNA Sequencing; the FDA’s Sequencing Quality Control Consortium (SEQC2); metagenomics standards efforts (ABRF, ATCC, Zymo, Metaquins), and the Epigenomics QC group of the SEQC2. The webinar will also review he computational methods for detection, validation, and implementation of these genomic measures.
Special Focus Topic: Synthetic Biology
Title: The Next Phase of Biology - Synthetic Biology for Synthetic
Professor Jay Keasling, Joint Bioenergy Institute, Berkeley, CA
Overview of the SureChEMBL system and web interface.
https://www.surechembl.org/search/
SureChEMBL is a freely available web resource for chemistry patent searching. It is based on a fully automatic and dynamic text and image mining pipeline.
Austin Journal of Computational Biology and Bioinformatics is an open access, peer reviewed, scholarly journal dedicated to publish articles in all areas of research in Computational Biology and Bioinformatics.
The journal aims to promote research communications and provide a forum for researchers and other healthcare professionals to find most recent advances in the areas of Computational Biology and Bioinformatics.
Austin Journal of Computational Biology and Bioinformatics accepts original research articles, review articles, case reports and rapid communication on all the aspects of Computational Biology and Bioinformatics.
How can you access PubChem programmatically?Sunghwan Kim
Presented at the 255th American Chemical Society (ACS) National Meeting in New Orleans, LA (March. 19, 2018).
Building automated workflows that exploit the vast amount of data contained in PubChem requires programmatic access to the data through application programming interfaces (APIs). PubChem provides several programmatic access routes to its data, including Entrez Utilities (E-Utilities or E-Utils), PubChem Power User Gateway (PUG), PUG-SOAP, PUG-REST, PUG-View, and a REST-ful interface to PubChemRDF. This presentation provides an overview of these programmatic access tools, including recent updates, limitations, usage policies, and best practices.
*References*
(1) PUG-SOAP and PUG-REST: web services for programmatic access to chemical information in PubChem, Nucleic Acids Research, 2015, 43(W1):W605–W611. https://doi.org/10.1093/nar/gkv396
(2) An update on PUG-REST: RESTful interface for programmatic access to PubChem, Nucleic Acids Research, 2018, 46(W1):gky294. https://doi.org/10.1093/nar/gky294
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
2. Overview
Background
p3d overview
example ATP binding site
Fufezan, C. and Specht M. (2009) BMC Bioinformatics 10, 258
http://p3d.fufezan.net
http://github.com/fu/p3d
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
clone us - fork us!
6. Background
carbon
nitrogen
oxygen
chain(s) of amino acids ...
N D R P A
I
M K
... form proteins
and some bind cofactors
e.g. ATP
Adenosin-tri-phosphate
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
7. Background
knowledge based approaches to elucidate
structural factors that are essential for co-factor
binding
- protein engineering
proteins
- protein folding
- co-factor tuning
Proteins_c1_sp_Ob.qxp
9/11/08
4:14 PM
Page 1
proteins
STRUCTURE O FUNCTION O BIOINFORMATICS
V O LU M E
7 3 ,
N U M B E R
3 ,
N OV E M B E R
1 5 ,
V O LU M E
7 3 ,
N U M B E R
3 ,
N OV E M B E R
1 5 ,
2 0 0 8
PAG E S
Morozov et al. (2004) PNAS, 101, 6946Huang et al.(2004) PNAS, 101, 5536Fufezan et al. (2008) Proteins, 73, 690Negron et al. (2009) Proteins, 74, 400Fufezan (2010) Proteins, in press
5 2 7 – 7 9 4
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
A PDB Survey of Heme Ligands in Proteins
2 0 0 8
9. p3d overview
Fufezan, C. and Specht M. (2009) BMC Bioinformatics 10, 258
http://p3d.fufezan.net
Python module that allows
to access and manipulate protein structure files
rapid development of new screening tools
easily incorporate complex queries
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
10. chain
atom
AA
resid
type
x y z user
idx
ATOM Object
idx
atype
aa
chain
x
y
z
user
beta
protein-object
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
beta
or
temperature
factor
O
C
N
CA
CB
CG1
CG2
18. Tree Object
query( Vector1, radius )
ATOM Object
idx
atype
aa
chain
x
y
z
user
beta
protein-object
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
19. Tree Object
query( Vector1, radius )
ATOM Object
idx
atype
aa
chain
x
y
z
user
beta
protein-object
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
Vectors
do not have to
be atoms!!
20. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
alpha
residues
protein
not protein
21. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
alpha
residues
protein
not protein
Query function using human readable syntax
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
22. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
residues
protein
not protein
23. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
pdb.query(‘resname HOH and within 4 of resname ASP’)
residues
protein
not protein
24. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
pdb.query(‘resname HOH and within 4 of resname ASP’)
pdb.query(‘oxygen and not protein’)
residues
protein
not protein
25. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
pdb.query(‘resname HOH and within 4 of resname ASP’)
pdb.query(‘oxygen and not protein’)
residues
pdb.query(‘ protein and within 4 of ’, p3d.vector.Vector(x,y,z) )
protein
not protein
26. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
pdb.query(‘resname HOH and within 4 of resname ASP’)
pdb.query(‘oxygen and not protein’)
residues
pdb.query(‘ protein and within 4 of ’, p3d.vector.Vector(x,y,z) )
protein
not protein
for residueName in pdb.hash[non-aa-resname]:
27. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
pdb.query(‘resname HOH and within 4 of resname ASP’)
pdb.query(‘oxygen and not protein’)
residues
pdb.query(‘ protein and within 4 of ’, p3d.vector.Vector(x,y,z) )
protein
not protein
for residueName in pdb.hash[non-aa-resname]:
targets = pdb.query(' protein and within 4 of
28. Protein class
List of atom
objects (vectors)
sets (hashes)
oxygen
BSP Tree
O1
FME A
1
CA
PHE A
2
backbone
Query function using human readable syntax
alpha
e.g.: pdb.query(‘backbone and resid 5..12 and within 5 of resname FME’)
pdb.query(‘resname HOH and within 4 of resname ASP’)
pdb.query(‘oxygen and not protein’)
residues
pdb.query(‘ protein and within 4 of ’, p3d.vector.Vector(x,y,z) )
protein
not protein
for residueName in pdb.hash[non-aa-resname]:
targets = pdb.query(' protein and within 4 of
( resname 'residueName' and oxygen )' )
29. Example ATP binding
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
30. The ATP binding sites
Adenosine-tri-phosphate
ΔG˚' = -30 kJ mol-1
40 kg / day
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
31. The ATP binding sites
non. redundant set of proteins
24 binding sites
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
32. The ATP binding sites
non. redundant set of proteins
24 binding sites
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
33. The ATP binding sites
non. redundant set of proteins
24 binding sites
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
34. The ATP binding sites
non. redundant set of proteins
24 binding sites
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
36. The ATP binding site
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
37. The ATP binding site
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
38. The ATP binding site
+4.5
hydropathy
index
Observations
10
0
1
-4.5
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
non. redundant set of proteins
24 binding sites
39. Summary
p3d allows to develop quickly Python
scripts to screen Protein structures
combines Vectors, sets and BSPTree
p3d allows flexible and complex queries
using human readable language
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
40. Acknowledgements
M. Specht
Prof. Dr. M. Hippler
founding by the DFG and
Alexander von Humboldt Stiftung
Dr. C. Fufezan
Institute for Biochemistry and Biotechnology of Plants (IBBP)
