Programmable genome integration of large, diverse DNA cargo without DNA repair of
exposed DNA double-strand breaks remains an unsolved challenge in genome editing. We …

The receptor binding domain (RBD) of the SARS-CoV-2 spike glycoprotein mediates viral
attachment to ACE2 receptor and is a major determinant of host range and a dominant target …

Cost-effective, efficacious therapeutics are urgently needed to combat the COVID-19
pandemic. In this study, we used camelid immunization and proteomics to identify a large …

Abstract Machine learning and in particular deep learning (DL) are increasingly important in
mass spectrometry (MS)-based proteomics. Recent DL models can predict the retention …

The optimization of therapeutic antibodies is time-intensive and resource-demanding,
largely because of the low-throughput screening of full-length antibodies (approximately 1× …

Designing protein sequences towards desired properties is a fundamental goal of protein
engineering, with applications in drug discovery and enzymatic engineering. Machine …

Functional annotation of open reading frames in microbial genomes remains substantially
incomplete. Enzymes constitute the most prevalent functional gene class in microbial …

Deep learning algorithms have been utilized to achieve enhanced performance in pattern-
recognition tasks. The ability to learn complex patterns in data has tremendous implications …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron sublineages have
escaped most receptor-binding domain (RBD)-targeting therapeutic neutralizing antibodies …

Antibiotics that target Gram-negative bacteria in new ways are needed to resolve the
antimicrobial resistance crisis,–. Gram-negative bacteria are protected by an additional outer …