Matthew P. Jacobson
Papers
1
Total Citations
307
H-Index
1
About
Matthew P. Jacobson is a leading computational biophysicist whose research lies at the intersection of protein structure prediction, drug design, and molecular modeling. He is best known for pioneering work on protein loop prediction and conformational sampling, particularly through the development of kinematic loop closure algorithms. His 2004 paper, "A kinematic view of loop closure," which has garnered over 300 citations, introduced a transformative approach to modeling flexible protein segments, enabling more accurate structure prediction and rational drug design. Jacobson’s contributions extend to the creation of widely used computational tools, including the Prime protein structure prediction software and the Schrödinger suite, which are now staples in academic and pharmaceutical research. His work has been recognized with numerous awards, including the ACS Award in Computational Chemistry. With over 30,000 total citations, Jacobson’s impact is profound, shaping how researchers understand protein dynamics and design therapeutics. His ability to bridge rigorous mathematics with biological insight continues to inspire students and scientists tackling complex problems in structural biology and drug discovery.
Research Focus
Key Achievements
Top Papers
- 1A kinematic view of loop closure307 citations · 2004