NCBS researchers find shape shifting protein inside cells

BENGALURU: Ever wondered what is the importance of protein cells and what they do? A team of researchers from the National ...
Chemistry World

AI tool dramatically reduces computing power needed to find protein-binding molecules

Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...
EurekAlert!

A deep learning pipeline for controlling protein interactions

In 2023, scientists in the joint School of Engineering and School of Life Sciences Laboratory of Protein Design and Immunoengineering (LPDI), led by Bruno Correia, published in Nature a deep-learning ...
Purdue University

Deep learning, 3D technology to improve structure modeling for protein interactions, create better drugs

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...
AZoLifeSciences on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Enodia Therapeutics Secures €20.7M to Advance a Small-Molecule Platform for Targeted Protein Degradation Enabled by Proteomics and Machine Learning

Enodia Therapeutics, a biotechnology company developing novel small-molecule therapies for targeted protein degradation at ...