Top  5 Ways to Lean Bioinformatics, Computational Biology, Computational Structural Biology, In silico Drug Discovery, Next Generation Sequencing Data Analysis, AI & Machine Learning for Bioinformatics, Data Science using R & Bioconductor, Deep Learning and  Programming for Bioinformatics.

PPIscreenML

PPIscreenML: A Rigorous Machine Learning Approach to Screening Protein-Protein Interactions with AF2

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Every second, thousands of proteins inside your cells are bumping into each other, forming fleeting partnerships, and splitting apart again. These protein-protein interactions (PPIs)...
FrustrAI-Seq

Meet FrustrAI-Seq: Proteome-Wide Frustration Profiling Without Structural Inputs

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Proteins are remarkable molecules. They fold, bend, bind, and catalyze, all while balancing an internal tension that most biology textbooks barely mention. That tension...
PandaClaw

Insilico Medicine’s PandaClaw: An Agentic AI for Therapeutic Discovery

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For decades, the bottleneck in drug discovery wasn't the biology; it was the translation. Getting from a disease hypothesis to a viable therapeutic target...
Microproteins and Peptideins

Beyond the Known Proteome: Microproteins and Peptideins Expand the Blueprint of Life

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Molecular biology is currently undergoing a taxonomic reckoning. For decades, the human genome was defined by a stable, canonical figure: roughly 19,500 to 20,000...
PlotGDP

What If an AI Agent Could Handle All Your Bioinformatics Plots? Meet PlotGDP

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The research team affiliated with Sun Yat Sen University in Guangzhou engineered PlotGDP, an AI-based web server tool designed to assist people with various...