Accurate site-specific folding via conditional diffusion based on AlphaFold3

H Haocheng Tang (Department of Pharmaceutical Sciences, School of Pharmacy) J Junmei Wang (Department of Pharmaceutical Sciences, School of Pharmacy)

Abstract

Accurate structure prediction of biomolecular complexes is crucial for understanding biological processes and enabling drug discovery. While AlphaFold3 represents a significant advancement, enhancing its accuracy for specific binding sites remains a challenge. We present SiteAF3, a method for accurate site-specific folding via conditional diffusion, built upon the AlphaFold3 framework. SiteAF3 refines the diffusion process by fixing the receptor structure and optionally incorporating binding pocket and hotspot residue information. Comprehensive evaluations on protein–small molecule, protein–peptide, and protein–nucleic acid datasets demonstrate that SiteAF3 consistently outperforms AlphaFold3, achieving higher accuracy in complex structure prediction especially for orphan proteins and allosteric ligands, with reduced computational cost. SiteAF3 offers a user-friendly plug-in compatible with AlphaFold3, providing a valuable tool for more accurate modeling of biomolecular interactions.

Article Details

Volume / Issue Vol. 122, Issue 44
Published November 04, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (2)

H

Haocheng Tang

Department of Pharmaceutical Sciences, School of Pharmacy

J

Junmei Wang

Department of Pharmaceutical Sciences, School of Pharmacy