Bernard Testa

Molecular Biology · 2000–2015

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 41 citations into it; #14,374 of 17,773 by trust here, #10,864 by citations
• Computational Theory and Mathematics — 33 citations into it; #6,285 of 12,182 by trust here, #2,298 by citations
• Computational Chemistry & Drug Discovery — 18 citations into it
• Pharmacology — 15 citations into it; #249 of 1,112 by trust here, #337 by citations

Whom Bernard Testa trusts overall

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

1. Sean Ekins
2. Gerhard Klebe
3. Brian K. Shoichet

Who trusts Bernard Testa overall

1. Sean Ekins
2. Yang Zhang
3. Jordi Mestres

Papers from Bernard Testa's perspective

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

1. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
2. Docking and scoring in virtual screening for drug discovery: methods and applications
3. MODBASE: a database of annotated comparative protein structure models and associated resources
4. Virtual screening methods that complement HTS.
5. Ligand–protein inverse docking and its potential use in the computer search of protein targets of a small molecule (Proteins: Structure, Function, and Bioinformatics)
6. Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
7. Integration of virtual and high-throughput screening
8. Integrating virtual screening in lead discovery.
9. A computational procedure for determining energetically favorable binding sites on biologically important macromolecules.
10. Handbook of Molecular Descriptors

Their papers

• Predicting drug metabolism: experiment and/or computation? (2015) — 448 citations
• In silico pharmacology for drug discovery: applications to targets and beyond (2007) — 363 citations
• In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling (2007) — 688 citations
• Molecular fields in quantitative structure–permeation relationships: the VolSurf approach (2000) — 519 citations