Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for de novo binders. However, most evaluations emphasize binding affinity rather than higher-order biological function. We present Bits to Binders, a global competition evaluating de novo bin...
Clayton W. Kosonocky, Alex M. Abel, Aaron L. Feller et al.· Molecular Systems Biology· 6 citations· ⚡2
Pathogenic variants in the 13 protein-coding genes of the mitochondrial genome underlie clinically and biochemically heterogeneous disorders. Most mtDNA-encoded genes lack defined loss-of-function (LOF) models in vivo. To address this gap, we have generated Z-Terminator, a systematic in vivo atlas of loss-of-function a...
A. Sabharwal, Md Roushan Ali, Kyler S. Mitra et al.· bioRxiv· 0 citations
A persistent fleet of cooperative AI scientist agents that operated continuously for nearly six months is described, term this bounded pattern AI Autopoietic Behavior due to the recurring operational improvement mediated by internal feedback and retained through institutional records with high confidence.
M. Patel, W. Wierson, S. C. Ekker· bioRxiv· 0 citations
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