Sunday, February 5, 2023

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In-depth Mapping of Protein Localizations in Whole Tissue using Micro-scaffold Assisted Spatial Proteomics (MASP)

In-depth Mapping of Protein Localizations in Whole Tissue Using Micro-scaffold Assisted Spatial Proteomics (MASP)

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Researchers from the Jun Qu lab at SUNY Buffalo, New York, have developed a revolutionary method for in-depth mapping of protein localization in whole...
Nutrient that Cancer Cells Crave

New Hope in the Fight Against Cancer: Scientists Discover Nutrient that Cancer Cells Crave

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Cancer is one of the prominent causes of death globally, and discovering new methods to prevent and cure it is important for public health....
Computational and experimental pipeline of RESP

Expediating the Discovery of Super Tight-Binding Antibodies with an AI Model “RESP”

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Scientists from UCSD have devised an efficient AI-based pipeline, RESP, for identifying high-affinity antibodies. Typically, researchers would employ directed evolution to enable iterative mutagenesis...
AlphaFill: An AI Algorithm that Implants Ligands and Cofactors in AlphaFold Models

Meet AlphaFill: An AI Algorithm to Fill Missing Ligands and Cofactors in AlphaFold Models

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According to Levinthal's paradox, each protein may adopt around 10300 distinct structures. We now know 3-D structures for about 98% of the human proteome...
DGNN-DDI: A Cutting-edge Tool for Drug-Drug Interaction Prediction using Dual Graph Neural Network

DGNN-DDI: A Cutting-edge Tool for Drug-Drug Interaction Prediction using Dual Graph Neural Network

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Scientists from Shaanxi Normal University, China, developed a novel Drug-Drug-Interactions (DDI) prediction tool that implements a dual graph neural network architecture to incorporate chemical...

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