AI is accelerating protein design by enhancing structure prediction, candidate screening, and downstream analysis, enabling faster and more consistent results. Automation complements these advances by ...
Researchers at the National University of Singapore have developed a paired protein language model (PPLM) that learns from two proteins simultaneously, improving interaction prediction accuracy by up ...
In the race of innovative drug R&D, whether for antibodies, peptides, or novel binding proteins, the efficiency of early-stage molecule discovery is always the key factor determining project success ...
ABSTRACT: The EXO70 gene is a very important component of the exocytosis complex, involving a series of biological processes including plant cell division and immune regulation. The Arabidopsis ...
ABSTRACT: The EXO70 gene is a very important component of the exocytosis complex, involving a series of biological processes including plant cell division and immune regulation. The Arabidopsis ...
You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
ProtSSN is a valuable approach that generates protein embeddings by integrating sequence and structural information, demonstrating improved prediction of mutation effects on thermostability compared ...
The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...
Ribonucleic acid, commonly known as RNA, is involved in many biological functions, and some, including gene silencing, are utilized to cure diseases. RNA has recently gained attention as a promising ...
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