Marco A. C. Neves
Molecular Biology · 2012
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 8 citations into it; #8,223 of 17,773 by trust here, #14,176 by citations
- Computational Theory and Mathematics — 6 citations into it; #7,081 of 12,182 by trust here, #6,798 by citations
Whom Marco A. C. Neves trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark McGann
- Ruben Abagyan
- Niu Huang
- Irina Kufareva
- Anatoly M. Ruvinsky
- Brian K. Shoichet
- Maxim Totrov
- Thomas Stützle
- Manuel Rueda
- Marcel L. Verdonk
Who trusts Marco A. C. Neves overall
- Anastasiia V. Sadybekov
- Polo Chun-Hung Lam
- Evanthia Lionta
- Ryan G. Coleman
- Vsevolod Katritch
- Ruben Abagyan
- Michael Carchia
- George M. Spyrou
- Maxim Totrov
Papers from Marco A. C. Neves's perspective
Ordered by how strongly the researchers Marco A. C. Neves trusts endorse each paper. Same corpus, a different order for every researcher.
- Diverse, high-quality test set for the validation of protein-ligand docking performance.
- Benchmarking sets for molecular docking.
- Role of binding entropy in the refinement of protein–ligand docking predictions: Analysis based on the use of 11 scoring functions
- Evaluating Virtual Screening Methods: Good and Bad Metrics for the "Early Recognition" Problem
- The RCSB Protein Data Bank: redesigned web site and web services
- Virtual Ligand Screening of the p300/CBP Histone Acetyltransferase: Identification of a Selective Small Molecule Inhibitor (Chemistry and Biology)
- FRED Pose Prediction and Virtual Screening Accuracy (Journal of Chemical Information and Modeling)
- Empirical Scoring Functions for Advanced Protein-Ligand Docking with PLANTS
- Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go
- Status of GPCR modeling and docking as reflected by community-wide GPCR Dock 2010 assessment
Their papers
- Docking and scoring with ICM: the benchmarking results and strategies for improvement (2012) — 350 citations