Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins
Abstract
ProModEv (Protein Model Evaluation portal) is a platform developed for benchmarking and evaluating Artificial Intelligence (AI) and Machine Learning (ML) tools used in protein structure prediction, including AlphaFold2, AlphaFold3, and ESMFold. It features an interactive, user-friendly dashboard that offers clear visualizations of performance metrics and comparative data, facilitating seamless exploration and analysis. The primary aim of ProModEv is to systematically assess the accuracy of these AI/ML-based methods relative to experimentally determined structures sourced from the Protein Data Bank (PDB). The portal underscores the prediction accuracy of these tools for both monomeric and oligomeric proteins, aiding researchers in identifying their strengths and limitations.
Fields of Study & Subjects
Protein Structure and Dynamics
Machine Learning in Bioinformatics
Enzyme Structure and Function
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026