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.

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

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G protein-coupled receptors (GPCRs) are essential membrane proteins with dynamic conformations that are also major targets for drug development and discovery. However, designing protein...
Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

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Hundreds of scientists come together through collaborative efforts to accomplish a shared goal during scientific discovery processes. Current workflows generate research independently, yet they...
MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

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Recent years have witnessed significant advancements in the fields of artificial intelligence (AI) and machine learning (ML), catalyzing a revolution in cheminformatics and drug...
Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

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There are more than 100 NMR relaxation datasets in the Biological Magnetic Resonance Data Bank (BMRB), which show an observable motion in µs-ms. NMR...
A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

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Advancements in precision medicine have long promised a future where treatments are tailored to individual genetic profiles. However, despite significant progress in genomics, the...