The traditional approach of using 3D protein structure prediction is computationally expensive and often impractical for large-scale screening. The complexity of biological systems, combined with the ...

Successful matchmaking with protein molecules is like all other kinds of matchmaking: The two must click for it to work. Except for proteins — the estimated 200 million unique molecular building ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health ...

A little more than a year after announcing plans for its molecule design programs to set up shop in the field of generative AI, Nvidia is opening its doors. Just as call-and-response apps like ChatGPT ...

In a recent study posted to the International Journal of Molecular Sciences (IJMS), researchers presented new structural insights about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ...

Professor Jonathan Wittenberg used this model of sperm whale myoglobin structure as a teaching tool at the Albert Einstein College of Medicine at Yeshiva University in the Bronx. It was used beginning ...

Monisha Ravisetti was a science writer at CNET. She covered climate change, space rockets, mathematical puzzles, dinosaur bones, black holes, supernovas, and sometimes, the drama of philosophical ...

A new machine learning model, NeCLAS, can determine whether and how a protein and nanoparticle will bind, which could revolutionize drug discovery and design processes. Researchers at the University ...

ProtoBind-Diff generates drug-like molecules for specific protein targets using only their amino acid sequences—no 3D structures required. The model performs competitively with leading structure-based ...

By utilizing these models, Ainnocence can sample billions of protein sequences in a matter of hours, something that would be computationally impossible with traditional 3D-based methods. Protein ...