Developing vaccines against infectious and epidemic diseases with the aid of Bioinformatics is now possible, by predicting epitopes on an antigen and finding possible targets for the antibody to bind. A new era of vaccine production is just ahead of us.
Watch out the ppt to know more!!!
It includes general introduction to antibodies; Monoclonal antibodies; comparison between Polyclonal & Monoclonal antibodies; Hybridoma Technology & Hyridoma Selection; advantages & disadvantages of mABs; Applications of mABs; Recombinant Monoclonal antibodies production through Antibody Engineering.
Genome annotation, NGS sequence data, decoding sequence information, The genome contains all the biological information required to build and maintain any given living organism.
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyze the function and structure of genomes
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...Mekhla Diwan
It contains the information about Immuno informatics, immune cell development, Immunological database management and tools used for immuno informatics, all about Microarray and DNA MIcroArray experiment, Micro Array Data Classificationa and Machine learning Overview.
Developing vaccines against infectious and epidemic diseases with the aid of Bioinformatics is now possible, by predicting epitopes on an antigen and finding possible targets for the antibody to bind. A new era of vaccine production is just ahead of us.
Watch out the ppt to know more!!!
It includes general introduction to antibodies; Monoclonal antibodies; comparison between Polyclonal & Monoclonal antibodies; Hybridoma Technology & Hyridoma Selection; advantages & disadvantages of mABs; Applications of mABs; Recombinant Monoclonal antibodies production through Antibody Engineering.
Genome annotation, NGS sequence data, decoding sequence information, The genome contains all the biological information required to build and maintain any given living organism.
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyze the function and structure of genomes
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...Mekhla Diwan
It contains the information about Immuno informatics, immune cell development, Immunological database management and tools used for immuno informatics, all about Microarray and DNA MIcroArray experiment, Micro Array Data Classificationa and Machine learning Overview.
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
Sequence Alignment Pairwise alignment:- Global Alignment and Local AlignmentTwo types of alignment Progressive Programs for multiple sequence alignment BLOSUM Point accepted mutation (PAM)PAM VS BLOSUM
Applications of genomics and proteomics pptIbad khan
Applications of genomics and proteomics ppt
genomics and proteomics ppt
in the field of health genomics and proteomics ppt
oncology ppt
biomedical application of genomics and proteomics ppt
agriculture application of genomics and proteomics ppt
proteomics in agriculture ppt
diagnosis of infectious disease ppt
personalized medicine ppt
SYNTHETIC PEPTIDE VACCINES AND RECOMBINANT ANTIGEN VACCINED.R. Chandravanshi
What is a Vaccine?
A vaccine is a substance that is introduced into the body to prevent infection or to control disease due to a certain pathogen (a disease-causing organism, such as a virus, bacteria or parasite). The vaccine “teaches” the body how to defend itself against the pathogen by creating an immune response.
1 Unlike traditional pharmaceuticals, vaccines are biologics since they are made from living organisms (biological sources).
2 Specifically, vaccines are preparations of components derived from (or related to) a pathogen; they can typically induce a protective effect through one to three very small doses, in the range of micrograms to milligrams.
3 Immunity lasts for an extended period, from one year up to lifetime protection, including prevention of disease and/or related sequelae.
Synthetic peptide vaccines represent fragments of protein antigen sequences, synthesizing specific B cell and T cell epitopes offer the potential to induce diseases neutralizing immuno response with completely synthetic structure. Now it is well established that short chain peptides can be used to mimic antigenic sites of viruses and thus can be used the basics for vaccines and development. therefore, attempts have been made to synthesize such peptides which act as the serrogate immuunogens, as an alternative to the existing conventional vaccines.
In this ppt one can know the diiferent softwares and several online servers for the epitope mapping.This mapping helpful for production of different vaccines and antibodies.
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
Sequence Alignment Pairwise alignment:- Global Alignment and Local AlignmentTwo types of alignment Progressive Programs for multiple sequence alignment BLOSUM Point accepted mutation (PAM)PAM VS BLOSUM
Applications of genomics and proteomics pptIbad khan
Applications of genomics and proteomics ppt
genomics and proteomics ppt
in the field of health genomics and proteomics ppt
oncology ppt
biomedical application of genomics and proteomics ppt
agriculture application of genomics and proteomics ppt
proteomics in agriculture ppt
diagnosis of infectious disease ppt
personalized medicine ppt
SYNTHETIC PEPTIDE VACCINES AND RECOMBINANT ANTIGEN VACCINED.R. Chandravanshi
What is a Vaccine?
A vaccine is a substance that is introduced into the body to prevent infection or to control disease due to a certain pathogen (a disease-causing organism, such as a virus, bacteria or parasite). The vaccine “teaches” the body how to defend itself against the pathogen by creating an immune response.
1 Unlike traditional pharmaceuticals, vaccines are biologics since they are made from living organisms (biological sources).
2 Specifically, vaccines are preparations of components derived from (or related to) a pathogen; they can typically induce a protective effect through one to three very small doses, in the range of micrograms to milligrams.
3 Immunity lasts for an extended period, from one year up to lifetime protection, including prevention of disease and/or related sequelae.
Synthetic peptide vaccines represent fragments of protein antigen sequences, synthesizing specific B cell and T cell epitopes offer the potential to induce diseases neutralizing immuno response with completely synthetic structure. Now it is well established that short chain peptides can be used to mimic antigenic sites of viruses and thus can be used the basics for vaccines and development. therefore, attempts have been made to synthesize such peptides which act as the serrogate immuunogens, as an alternative to the existing conventional vaccines.
In this ppt one can know the diiferent softwares and several online servers for the epitope mapping.This mapping helpful for production of different vaccines and antibodies.
A brief covering basics of immunity understanding and also allowing students to understand with ease the concepts of innate immunity, adaptive immunity, Tcell, Bcell, MHC molecular genetics, and also cytokines and also its role in various disease.
This presentation provides an overview of cell and humoral immunity, two important components of the immune system. Cell-mediated immunity is mediated by T cells, while humoral immunity is mediated by B cells and antibodies. The presentation discusses the different types of cells and molecules involved in each type of immunity, as well as the roles they play in protecting the body from infection.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
2. Introduction
Bioinformatics is the study of living systems through computation
1. Genome analysis
2. Transcriptome analysis
3. Protein/Proteome analysis
4. Systems Biology
5. Immunoinformatics
6. Genome-phenome mapping
7. Biodiversity Informatics
3. What is Immunoinformatics?
Computational systems biology of immune response
1. Genome screening - marker detection
2. Proteomics/genomics of diseased state
3. Sequence analysis of antigens/markers
4. Structure analysis of antigens
5. T cell epitope analysis
6. Antibody epitope analysis
7. Vaccine design
4. Types of vaccines
Inactivated vaccines
Live attenuated vaccines
Subunit vaccines(hepatitis B)
Virus-like particles
Toxoid vaccines
DNA vaccines
Peptide vaccines
5.
6. Properties of Epitopes
They occur on the surface of the protein and are more flexible than the rest
of the protein.
They have high degree of exposure to the solvent.
The amino acids making the epitope are usually charged and hydrophilic.
7. T-cell epitopes
Part of antigen recognizable by antibodies, B cells or T cells
both foreign and self proteins
conformational or linear structure
9. HOW VACCINE PROVIDES PROTECTION
STIMULATORY
MOLECULE
SECRETIONS
B CELL
MACROPHAGE
Step1 Macrophage
takes in antigen
by phagocytosis
Step2 Macrophages display pieces
of the antigen to helper T cells
VACCINE-INDUCED
RESPONSES
ANTIGEN FROM VACCINE
MEMORY HELPER
T CELLS
Step4 Activated B cells
make & release
antibodies able to
neutralize the antigen
ANTIBODY
PLASMA CELL
MEMORY CTL
Step3 T cells regulates B &
CTL activation
CYTOTOXIC
LYMPHOCYTE (CTL)
HELPER T CELL
ANTIGEN
PIECE
MHC II
TCR
MEMORY B CELL
10. HOW VACCINE PROVIDES PROTECTION
WHEN A DISEASE
AGENT APPEARS
MHC I
TCR
MEMORY
CYTOTOXIC
LYMPHOCYTE
(CTL)
TCR
CTL
EFFECTOR
KILL
INFECTED CELL
MHC I
& Peptide
Step2 CTL attack infected cells
and kill them
NEUTRALIZING
ANTIBODY
PLASMA CELL
MEMORY
B CELL
NEUTRALIZAITON
Step4 Antibodies quickly neutralize
the invader
Step1 Macrophage display virus antigen
pieces to memory CTL & helper T cell
MACROPHAGE
ARRIVING VIRUS
Step3 Memory helper T cells
swiftly stimulate antibody secretion
HELPER T
REGULATORY CELL
MEMORY
HELPER T
CELL
TCR
VIRUS
ANTIGEN
PIECES
MHC II
11. reverse vaccinology
The methodology of analysing the pathogen genome to identify potential
antigenic proteins
reducing time and saving resources
Pathogens grow quickly, extraction of their proteins and then testing of those
proteins on a large scale is expensive and time-consuming
12. the investigation of the binding affinity of antigenic peptides to the MHC
molecules is the main goal when predicting epitopes
structure-based methods(three-dimensional structure of the proteins)
sequence-based methods (analyse the amino acid sequence)