Ryan G. Coleman
Molecular Biology · 2007–2014
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 75 citations into it; #3,999 of 17,773 by trust here, #3,425 by citations
- Computational Theory and Mathematics — 56 citations into it; #4,154 of 12,182 by trust here, #641 by citations
- Computational Chemistry & Drug Discovery — 35 citations into it; #180 of 425 by trust here, #114 by citations
- Materials Chemistry — 25 citations into it; #10,869 of 11,513 by trust here, #10,083 by citations
- Organic Chemistry — 17 citations into it
- Pharmacology — 15 citations into it
Whom Ryan G. Coleman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian K. Shoichet
- John J. Irwin
- Michael M. Mysinger
- Mark McGann
- Niu Huang
- Marco A. C. Neves
- Richard A. Friesner
- J. Word
- Marcel L. Verdonk
- Eric F. Pettersen
Who trusts Ryan G. Coleman overall
- Teague Sterling
- M. Fischer
- Ragul Gowthaman
- David K. Johnson
- John Karanicolas
- John J. Irwin
- Brian Joseph Bender
- Vijay Prakash Dwivedi
- Brian K. Shoichet
- Sergey Lyskov
Papers from Ryan G. Coleman's perspective
Ordered by how strongly the researchers Ryan G. Coleman trusts endorse each paper. Same corpus, a different order for every researcher.
- UCSF Chimera—A visualization system for exploratory research and analysis
- Flexible ligand docking using conformational ensembles
- The PyMOL Molecular Graphics System
- Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
- Benchmarking sets for molecular docking.
- Improved protein–ligand docking using GOLD
- Virtual Computational Chemistry Laboratory – Design and Description
- Molecular docking using shape descriptors
- How many drug targets are there?
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
Their papers
- ZINC: A Free Tool to Discover Chemistry for Biology (2012) — 2,640 citations
- Ligand Pose and Orientational Sampling in Molecular Docking (2013) — 198 citations
- Structure-based maximal affinity model predicts small-molecule druggability (2007) — 643 citations
- Ligand Discovery from a Dopamine D3 Receptor Homology Model and Crystal Structure (2011) — 299 citations
- The incorporation of protein flexibility and conformational energy penalties in docking screens to improve ligand discovery (2014) — 139 citations