Paul D. Lyne
Computational Chemistry & Drug Discovery · 2002–2006
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computational Chemistry & Drug Discovery — 11 citations into it; #73 of 425 by trust here, #299 by citations
Whom Paul D. Lyne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Paul D. Lyne overall
- Andrew R. Leach
- Jason C. Cole
- L. Ferreira
- Valerie J. Gillet
- Ye Fang
- Christopher W. Murray
- Ricardo N Dos Santos
- Marcel L. Verdonk
- Glaucius Oliva
- Shengyou Huang
Papers from Paul D. Lyne's perspective
Ordered by how strongly the researchers Paul D. Lyne trusts endorse each paper. Same corpus, a different order for every researcher.
- Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
- DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
- Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations. (Journal of Medicinal Chemistry)
- A general and fast scoring function for protein-ligand interactions: a simplified potential approach.
- Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery (Journal of chemical information and computer sciences)
- Molecular docking using shape descriptors
- Improved protein–ligand docking using GOLD
- Structure-Based Strategies for Drug Design and Discovery
- The Protein Data Bank: a computer-based archival file for macromolecular structures.
- Rational automatic search method for stable docking models of protein and ligand.
Their papers
- Structure-based virtual screening: an overview. (2002) — 619 citations
- Accurate prediction of the relative potencies of members of a series of kinase inhibitors using molecular docking and MM-GBSA scoring. (2006) — 653 citations