Abstract Structure-based docking screens of large compound libraries have become
common in early drug and probe discovery. As computer efficiency has improved and …

Water solubility and structural stability are key merits for proteins defined by the primary
sequence and 3D-conformation. Their manipulation represents important aspects of the …

There has been considerable recent progress in designing new proteins using deep-
learning methods,,,,,,,–. Despite this progress, a general deep-learning framework for protein …

The design of proteins that bind to a specific site on the surface of a target protein using no
information other than the three-dimensional structure of the target remains a challenge …

Attention-based models trained on protein sequences have demonstrated incredible
success at classification and generation tasks relevant for artificial-intelligence-driven …

There has been considerable recent progress in designing new proteins using deep
learning methods–. Despite this progress, a general deep learning framework for protein …

Recently it has become possible to de novo design high affinity protein binding proteins from
target structural information alone. There is, however, considerable room for improvement as …

Antibodies elicited by infection accumulate somatic mutations in germinal centers that can
increase affinity for cognate antigens. We analyzed 6 independent groups of clonally related …

Language models have recently emerged as a powerful machine-learning approach for
distilling information from massive protein sequence databases. From readily available …

In vitro transcription (IVT) is a DNA-templated process for synthesizing long RNA transcripts,
including messenger RNA (mRNA). For many research and commercial applications, IVT of …