Jacob D. Durrant
Molecular Biology · 2009–2013
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 50 citations into it; #2,320 of 17,773 by trust here, #7,298 by citations
- Computational Theory and Mathematics — 35 citations into it; #2,247 of 12,182 by trust here, #1,748 by citations
- Computational Chemistry & Drug Discovery — 27 citations into it; #278 of 425 by trust here, #333 by citations
- Materials Chemistry — 17 citations into it; #2,865 of 11,513 by trust here, #8,635 by citations
- Organic Chemistry — 13 citations into it
- Atomic and Molecular Physics, and Optics — 7 citations into it
- Pharmacology — 6 citations into it
Whom Jacob D. Durrant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Andrew McCammon
- W. L. Jorgensen
- John J. Irwin
- R. Amaro
- Gisbert Schneider
- Junmei Wang
- A. W. Schüttelkopf
- Jung-Hsin Lin
- Sérgio Filipe Sousa
- David A. Case
Who trusts Jacob D. Durrant overall
- Elizabeth Yuriev
- Scott A. Hollingsworth
- Marta M. Stepniewska-Dziubinska
- Janaina Cruz Pereira
- Polo Chun-Hung Lam
- R. Bernardi
- Michael J. Wasko
- Eduardo Habib Bechelane Maia
- Ron O. Dror
- Paul A. Ramsland
Papers from Jacob D. Durrant's perspective
Ordered by how strongly the researchers Jacob D. Durrant trusts endorse each paper. Same corpus, a different order for every researcher.
- A fast flexible docking method using an incremental construction algorithm.
- DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
- Development and testing of a general amber force field
- Comparative study of several algorithms for flexible ligand docking (J. Comput. Aided Mol. Des.)
- The Amber biomolecular simulation programs
- Protein–ligand docking: Current status and future challenges
- PRODRG: a tool for high-throughput crystallography of protein-ligand complexes.
- CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
- Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
Their papers
- Molecular dynamics simulations and drug discovery (2011) — 1,290 citations
- Computer-aided drug-discovery techniques that account for receptor flexibility. (2010) — 85 citations
- NNScore 2.0: A Neural-Network Receptor–Ligand Scoring Function (2011) — 336 citations
- AutoGrow 3.0: an improved algorithm for chemically tractable, semi-automated protein inhibitor design. (2013) — 54 citations
- AutoGrow: A Novel Algorithm for Protein Inhibitor Design (2009) — 112 citations