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Sharrol T. Bachas on Muck Rack

Sharrol T. Bachas

As seen in: BioRxiv, Cell Press
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Articles

Unlocking de novo antibody design with generative artificial intelligence

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By Sharrol T. Bachas, George W. Kasun, John Sutton, Amir Shanehsazzadeh
| BioRxiv
New Results doi: https://doi.org/10.1101/2023.01.08.523187 Abstract Generative artificial intelligence (AI) has the potential to greatly increase the speed, quality and controllability of antibody design. Traditional de novo antibody discovery requires time and resource intensive screening of large immune or synthetic libraries. These methods also offer little control over the output sequences, which can result in lead candidates with sub-optimal binding and poor developability attributes.
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Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness

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By Sharrol T. Bachas, Goran Rakocevic, David Spencer, Anand Sastry
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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Convergent Use of Heptacoordination for Cation Selectivity by RNA and Protein Metalloregulators

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By Sharrol T. Bachas, Adrian R. Ferré-D'Amaré
| Cell Press Verified
The large yybP-ykoY family of bacterial riboswitches is broadly distributed phylogenetically. Previously, these gene-regulatory RNAs were proposed to respond to Mn 2+. X-ray crystallography revealed a binuclear cation-binding pocket. This comprises one hexacoordinate site, with six oxygen ligands, which preorganizes the second, with five oxygen and one nitrogen ligands.
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