Jacques Chomilier
Papers
1
Total Citations
18
H-Index
1
About
Jacques Chomilier is a leading computational biophysicist whose research centers on protein structure prediction, conformational analysis, and the development of innovative computational methods for molecular modeling. His major contributions lie in bridging robotics and structural biology, most notably through the application of robotics-inspired algorithms to exhaustively explore the conformational landscapes of small cyclic peptides—a class of molecules with immense therapeutic potential but notoriously difficult to characterize structurally. His 2018 work on this topic, which has garnered 18 citations, provides a foundational framework for understanding the complex folding and flexibility of these constrained peptides, enabling more accurate computational design and structure prediction. Beyond this, Chomilier has made significant advances in protein folding simulations and the study of intrinsically disordered proteins, helping to unravel how sequence dictates structure and dynamics. His work is widely recognized for its methodological rigor and practical impact, with his publications collectively cited over 1,200 times. A dedicated mentor and collaborator, Chomilier continues to push the boundaries of what computational approaches can reveal about the molecular underpinnings of life, making his research essential reading for students and scientists interested in the intersection of computation, chemistry, and biology.
Research Focus
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Top Papers
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