معرفی
John Moult is a Professor at the University of Maryland, College Park. His research focuses on computational modeling of biological systems, particularly protein structure prediction, genetic variation analysis, and disease mechanism elucidation. He leads the Moult Group and is affiliated with the Computational Biology, Bioinformatics, & Genomics (CBBG) and Molecular & Cellular Biology (MOCB) graduate programs. Key contributions include organizing the CASP (Critical Assessment of Protein Structure Prediction) and CAGI (Critical Assessment of Genome Interpretation) initiatives, which assess computational methods in structural and genetic biology. His work integrates machine learning with biological data to improve disease diagnosis and drug targeting.
- Education: D.Phil., Molecular Biophysics, University of Oxford (1970); B.Sc., Physics, University of London (1965)
Research interests include investigating missense variants in human disease, developing neural network models for disease mechanisms, and advancing community-driven experiments like CASP and CAGI. Recent work emphasizes leveraging genomic data and phenotype information to identify causative variants in rare genetic disorders.
Publications span structural biology, computational methods, and interdisciplinary collaborations, with a focus on advancing the field through large-scale assessments and open science initiatives.
