Since the first FEA solver, Nastran, was developed for NASA in the 1960s, the simulation software industry has contended with a number of hurdles. For one, while the software (FEA, CFD, CEM) is ...

Enzymes called proteases act like molecular scissors for proteins in the body and play a role in therapies to stop viruses ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

In this video, Arc Institute Postdoctoral Fellow Vincent Tran walks through MULTI-evolve, an AI-guided framework that compresses protein engineering from months of iterative experimentation into weeks ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Their overview highlights innovative methods based on B-factor analysis, ancestral sequence reconstruction (ASR), and machine learning (ML), providing tools to design enzymes that withstand high ...

MIT-backed startup launches no-code AI platform enabling biologists to design proteins, accelerating drug discovery, reducing ...

Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...

Lawrence Livermore National Laboratory has developed SpyCI-LAMBS, a high-throughput protein screening system that can test hundreds of rare-earth-binding proteins in parallel. The platform slashes ...