Bioinformatics Facts

Check out bioinformatics facts to keep up with the latest concepts, research, tools & techniques developed over time

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Revolutionizing Molecular Linker Design with DiffLinker: The Power of Equivariant 3D-conditional Diffusion Models

Revolutionizing Molecular Linker Design with DiffLinker: The Power of Equivariant 3D-conditional Diffusion Models

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The effective paradigm of molecular linkers in drug discovery is crucial for obtaining relevant candidate molecules in early-stage drug development. In this study, researchers...
PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model Protein-Protein, Protein-Peptide, and Protein-Nucleic Acid Interactions

Unleash the Power of PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model...

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Understanding molecular mechanisms requires an understanding of protein interactions with nucleic acids. Researchers can query preprocessed and clustered structural data, analyze the data, and...
Schematic of the GEMLI lineage prediction pipeline.

Untangling the Cellular Family Tree: GEMLI Estimates Lineage from scRNA-seq Data

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Researchers from the Institute of Bioengineering, Lausanne, Switzerland, introduce GEMLI, a powerful computational tool that enables robust identification of cell lineages solely from scRNA-seq...
Smart Sampling for Smarter Drugs: How Active Learning Boosts Drug Discovery

Smart Sampling for Smarter Drugs: How Active Learning Boosts Drug Discovery

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In computational drug discovery, active learning (AL) is a potent approach that makes it possible to identify the best binders from large chemical libraries....
RNA Language Models

UC Berkeley’s Breakthrough RNA Language Models Predict Mutations that Enhance RNA Function

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A new tool from UC Berkeley can predict mutations that can improve the way how RNA works. By leveraging hyperthermophilic RNAs, the researchers identified...