Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“– Bioinformatics for Beginners
πŸ’₯Genes, Genome, Molecular Evolution, Databases and Analytical Tools

🌐 Study

πŸ“²Channel: @Bioinformatics
#book
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πŸ“ƒ A comprehensive survey of the approaches for pathway analysis using multi-omics data integration

πŸ“˜
Journal: Briefings in Bioinformatics (I.F=13.994)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #pathway
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πŸ“ƒ Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities

πŸ“˜
Journal: Frontiers in Chemistry (I.F.=5.545)
πŸ—“Publish year: 2019

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πŸ“²Channel: @Bioinformatics
#review #drug_target
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πŸ“„ Post-translational modifications in proteins: resources, tools and prediction methods

πŸ“˜
Journal: Database (I.F.=4.462)
πŸ—“Publish year: 2021

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πŸ“²Channel: @Bioinformatics
#review #protein #post_translational
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πŸ“” A biologist's guide to statistical thinking and analysis
πŸ’₯ Free Book chapter

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πŸ“²Channel: @Bioinformatics
#book #statistics
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πŸ‘¨β€πŸ«Phylogenetics: An introduction
πŸ’₯Free online tutorial from EMBL-EBI

πŸ–‡ Course details
πŸšͺEnter course

πŸ“²Channel: @Bioinformatics
#Phylogenetics #tutorial #course
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πŸ“ƒA review of biomedical datasets relating to drug discovery: a knowledge graph perspective

πŸ“˜Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

πŸ“Ž Downloable version
πŸ–‡ Main link

πŸ“²Channel: @Bioinformatics
#review #drug #dataset
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πŸ“„The AlphaFold Database of Protein Structures: A Biologist’s Guide

πŸ“˜
Journal: Journal of Molecular Biology (JMB) (I.F.=6.151)
πŸ—“Publish year: 2022

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πŸ“²Channel: @Bioinformatics
#protein #database #alphafold
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πŸ“‘Challenges and opportunities in network-based solutions for biological questions

πŸ“˜
Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

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πŸ“²Channel: @Bioinformatics
#network #challenges
πŸ‘5
πŸ“„A biologist’s guide to modern techniques in quantitative proteomics
πŸ’₯Technical Review

πŸ—“Publish year: 2020

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πŸ“²Channel: @Bioinformatics
#proteomics
πŸ“ƒGraph Models for Biological Pathway Visualization: State of the Art and Future Challenges

πŸ—“Publish year: 2021

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πŸ“²Channel: @Bioinformatics
#pathway #visualization
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πŸ“„Phylogenetics Algorithms and Applications

πŸ“š Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
πŸ—“Publish year: 2019

πŸ’₯Abstract: Phylogenetics is a powerful approach in finding evolution of current day species. By studying phylogenetic trees, scientists gain a better understanding of how species have evolved while explaining the similarities and differences among species. The phylogenetic study can help in analysing the evolution and the similarities among diseases and viruses, and further help in prescribing their vaccines against them. This paper explores computational solutions for building phylogeny of species along with highlighting benefits of alignment-free methods of phylogenetics. The paper has also discussed the application of phylogenetic study in disease diagnosis and evolution.

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πŸ“²Channel: @Bioinformatics
#Phylogenetics #algorithm
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πŸŽ“Network Structure vs Chemical Information in Drug-Drug Interaction Prediction

πŸ“˜Thesis from National Technical University of Athens, Greece

πŸ—“Publish year: 2022

πŸ“Ž Study thesis

πŸ“²Channel: @Bioinformatics
#thesis #drug
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πŸ“‘ Biomedical data, computational methods and tools for evaluating disease–disease associations

πŸ“˜
Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

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πŸ“²Channel: @Bioinformatics
#review #disease #data #tool
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πŸ“„Ten simple rules for creating a global network in computational biology

πŸ“˜Journal: PLOS Computational Biology (I.F.=4.779)
πŸ—“Publish year: October, 2022

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πŸ“²Channel: @Bioinformatics
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πŸ“„Application of artificial intelligence in drug repositioning

πŸ“˜Journal: Gene & Protein in Disease
πŸ—“Publish year: November, 2022

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πŸ“²Channel: @Bioinformatics
#review #AI #drug
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πŸ“ƒArtificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics

πŸ“˜Journal: Membranes (I.F.=4.562)
πŸ—“Publish year: October, 2021

πŸ’₯From Abstract: This review provides an introduction to a novel research trend. Ion channel understanding is usually made considering the structural and functional perspectives, gating mechanisms, transport properties, channel protein mutations, etc. Focused research on ion channels and related findings over many decades accumulated huge data which may be utilized in a specialized scientific manner to fast conclude pinpointed aspects of channels. AI, ML, and DL techniques and models may appear as helping tools. This review aims at explaining the ways we may use the bioinformatics techniques and thus draw a few lines across the avenue to let the ion channel features appear clearer.

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#review #ion_channel #ai
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