Robin Taylor

Computational Chemistry & Drug Discovery · 1982–2008

A researcher in the Science corpus: 11 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computational Chemistry & Drug Discovery — 28 citations into it; #166 of 425 by trust here, #74 by citations
• Computational Theory and Mathematics — 25 citations into it; #11,826 of 12,182 by trust here, #898 by citations
• Molecular Biology — 22 citations into it; #16,691 of 17,773 by trust here, #7,980 by citations
• Organic Chemistry — 13 citations into it

Whom Robin Taylor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Paul D. Lyne
2. Robert C. Glen
3. Peter Willett

Who trusts Robin Taylor overall

1. Gerhard Klebe
2. G. Sheldrick
3. Sérgio Filipe Sousa
4. Marcel L. Verdonk
5. Colin R. Groom
6. Shengyou Huang
7. Gregory A. Ross
8. Ian J. Bruno
9. Clare F. Macrae
10. Jason C. Cole

Papers from Robin Taylor's perspective

Ordered by how strongly the researchers Robin Taylor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
2. Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming.
3. Genetic Algorithms in Search Optimization and Machine Learning
4. \the Protein Data Bank: a Computer-based Archival Le for Macromolecular Structures,"
5. DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
6. A new test set for validating predictions of protein–ligand interaction (Proteins: Structure, Function, and Bioinformatics)
7. Consensus scoring for ligand/protein interactions. (Journal of Molecular Graphics and Modelling)
8. A genetic algorithm for flexible molecular overlay and pharmacophore elucidation
9. EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases
10. A general and fast scoring function for protein-ligand interactions: a simplified potential approach.

Their papers

• Retrieval of Crystallographically-Derived Molecular Geometry Information (2004) — 848 citations
• A new test set for validating predictions of protein–ligand interaction (2002) — 415 citations
• Modeling water molecules in protein-ligand docking using GOLD. (2005) — 371 citations
• New software for searching the Cambridge Structural Database and visualizing crystal structures. (2002) — 2,432 citations
• Mercury CSD 2.0 – new features for the visualization and investigation of crystal structures (2008) — 7,642 citations
• Mercury: visualization and analysis of crystal structures (2006) — 5,924 citations
• Typical interatomic distances: organic compounds (2006) — 158 citations
• Comparing protein–ligand docking programs is difficult (2005) — 335 citations
• SuperStar: a knowledge-based approach for identifying interaction sites in proteins. (1999)
• Development and validation of a genetic algorithm for flexible docking. (1997)
• Crystallographic evidence for the existence of CH.cntdot..cntdot..cntdot.O, CH.cntdot..cntdot..cntdot.N and CH.cntdot..cntdot..cntdot.Cl hydrogen bonds (1982)