SandboxAQ Supercharges OpenFold3 with AQAffinity: High-Speed, Structure-Free Drug Potency Prediction
Rapid, structure-free binding affinity prediction enables OpenFold3 to address key bottleneck in commercial early-stage drug discovery PALO ALTO, Calif., Jan. 20, 2026 /PRNewswire/ -- SandboxAQ today ...
Boltz-2 is the first biomolecular co-folding model to combine structure and binding affinity prediction, approaching the accuracy of physics-based free energy perturbation (FEP) calculations but at ...
Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...
Charge heterogeneity in monoclonal antibodies can negatively impact binding affinity and potency, so it is critical to ensure that individual charge variants of biotherapeutic molecules are thoroughly ...
Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...
Recently, SandboxAQ launched what it claims is the largest publicly available dataset of protein-ligand pairs with annotated experimental binding potency data. According to the company, the ...
Researchers at the Massachusetts Institute of Technology and Recursion Pharmaceuticals Inc. have released an open-source AI model that can predict the binding strength of small molecules as well as ...
The ability to alter proteins to refine control over binding affinity and specificity can create tailored therapeutics with reduced side effects, highly sensitive diagnostic tools, efficient ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results