Ramin Dehghanpoor
Papers
2
Total Citations
6
H-Index
2
About
Ramin Dehghanpoor is a computational biophysicist whose research lies at the intersection of protein dynamics, robotics-inspired path planning, and structural rigidity analysis. His most cited work, "Integrating Rigidity Analysis into the Exploration of Protein Conformational Pathways Using RRT* and MC" (2021), introduces a novel computational framework that combines Rapidly-exploring Random Trees (RRT*) with Monte Carlo methods and rigidity theory to map the large-scale conformational transitions essential for protein function. By integrating rigidity analysis—which identifies flexible versus rigid regions within a protein—Dehghanpoor’s approach efficiently navigates the high-dimensional energy landscape, revealing feasible pathways that traditional methods often miss. This work has garnered early citations (4 and 2) from researchers in computational structural biology and biophysics, signaling its potential as a foundational tool for understanding allosteric regulation and designing targeted molecular interventions. Dehghanpoor’s contributions are particularly notable for bridging concepts from robotics and mechanical engineering to solve long-standing challenges in protein dynamics, offering a powerful new lens for exploring how proteins move and function at the atomic level.
Research Focus
Key Achievements
Top Papers
- 1
- 2