Must Read

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...
Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq Datasets

Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq...

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The significance of comprehending gene expression regulation in tissue development is highlighted by the examination of disease progression through methods such as ChIP-seq and...