Jerod Parsons

Texas A&M University

Papers

1

Total Citations

100

H-Index

1

About

Jerod Parsons is a computational biophysicist whose work bridges structural biology and algorithm design, with a focus on protein modeling and molecular simulation. His most cited contribution, "Practical conversion from torsion space to Cartesian space for *in silico* protein synthesis" (2005, 100 citations), provides an efficient, widely adopted method for converting bond angles and lengths into atomic coordinates—a foundational tool for protein structure prediction, DNA modeling, and even robotics. This work has become a standard reference in the field, enabling researchers to generate realistic polymer conformations quickly. Parsons’ research integrates rigorous computational techniques with biological applications, addressing challenges in protein synthesis and structural dynamics. His impact is reflected in the enduring utility of his methods, which continue to support advances in drug design and molecular engineering. Through clear, practical solutions to complex geometric problems, Parsons has made lasting contributions to computational biology, empowering both experimentalists and theorists to explore the molecular world with greater precision.

Research Focus

Key Achievements

1
H-Index
1
Papers
100
Total Citations
100
Avg Citations/Paper
🏆 Most Cited Paper
Practical conversion from torsion space to Cartesian space for <i>in silico</i> protein synthesis
100 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Texas A&M University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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