Rasmus Fonseca

SLAC National Accelerator Laboratory

Papers

1

Total Citations

8

H-Index

1

About

Rasmus Fonseca is a computational biophysicist whose research focuses on understanding the dynamic nature of proteins through advanced modeling techniques. His primary contributions lie in the development of methods to simulate and predict conformational transitions—the large-scale structural rearrangements that proteins undergo to perform their biological functions. In his seminal 2017 work, "Frustration-guided motion planning reveals conformational transitions in proteins," Fonseca introduced an innovative computational framework that leverages the concept of energetic frustration to efficiently map out plausible pathways between protein substates. This approach, which has garnered 8 citations, addresses a critical bottleneck in structural biology: while experimental techniques now provide snapshots of different protein conformations, modeling the collective motions connecting them remains computationally challenging. By integrating principles from robotics motion planning with biophysical energy landscapes, Fonseca’s work enables researchers to explore how proteins navigate their conformational space, offering insights into allostery, enzyme catalysis, and drug design. His research bridges computational theory and practical biological application, making him a notable figure in the field of protein dynamics and structural bioinformatics.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Frustration-guided motion planning reveals conformational transitions in proteins
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: SLAC National Accelerator Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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