This publication adds to a growing body of external evidence validating the technical rigor, performance, and real-world relevance of BostonGene's AI-driven approach. By evaluating algorithmic and ...

Gas vesicles are among the largest known protein nanostructures produced and assembled inside microbial cells. These hollow, air-filled cylindrical nanostructures found in certain aquatic microbes ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

Artificial intelligence (AI) and “protein language” models can speed the design of monoclonal antibodies that prevent or reduce the severity of potentially life-threatening viral infections, according ...

Abstract: Understanding the interaction between compounds and proteins is a crucial step in the process of discovering and developing drugs. To assist biologists and medicinal chemists, predicting ...

OpenVirus Datasets are now available on HuggingFace. The corpus comprises 15.7 million non-redundant viral sequences (including 10.4 million nucleotide sequences and 5.2 million protein sequences).

When security researchers submit a vulnerability report to MSRC, the Vulnerabilities and Mitigations (V&M) team reviews it, reproduces the issue, and determines severity. The team reviews all ...

Cursor has for the first time introduced what it claims is a competitive coding model, alongside the 2.0 version of its integrated development environment (IDE) with a new feature that allows running ...

A new AI model is opening the black box of the leading artificial intelligence tool for predicting how proteins will interact with small molecules, such as drugs. The model, OpenFold3, which launched ...