Zhihai Liu
Computational Theory and Mathematics · 2009–2018
A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 150 citations into it; #5,077 of 12,182 by trust here, #434 by citations
- Molecular Biology — 141 citations into it; #11,313 of 17,773 by trust here, #3,803 by citations
- Computational Chemistry & Drug Discovery — 77 citations into it
- Materials Chemistry — 54 citations into it
- Organic Chemistry — 36 citations into it
- Radiology, Nuclear Medicine and Imaging — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Zhihai Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Renxiao Wang
- Yanli Wang
- Gerhard Klebe
- Evan E. Bolton
- Tiqing Liu
- Ajay N. Jain
- Gisbert Schneider
- Anna Gaulton
- Arthur J. Olson
- Roman A. Laskowski
Who trusts Zhihai Liu overall
- Jian Wang
- Marc A. Moesser
- Hannes Stärk
- Zixuan Cang
- Shota Uehara
- Marta M. Stepniewska-Dziubinska
- G. Wei
- Vignesh Ram Somnath
- Duc Duy Nguyen
- Shuya Nakata
Papers from Zhihai Liu's perspective
Ordered by how strongly the researchers Zhihai Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
- ChEMBL: a large-scale bioactivity database for drug discovery
- The PDBbind database: methodologies and updates.
- PubChem: Integrated Platform of Small Molecules and Biological Activities
- DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
- Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
- Binding MOAD, a high-quality protein–ligand database
- Molecular recognition and docking algorithms.
- Development and validation of a genetic algorithm for flexible docking.
- Comparing protein–ligand docking programs is difficult
Their papers
- PDB-wide collection of binding data: current status of the PDBbind database (2015) — 607 citations
- Forging the Basis for Developing Protein-Ligand Interaction Scoring Functions. (2017) — 502 citations
- Comparative Assessment of Scoring Functions on a Diverse Test Set (2009) — 498 citations
- Comparative Assessment of Scoring Functions: The CASF-2016 Update (2018) — 698 citations
- Comparative Assessment of Scoring Functions on an Updated Benchmark: 2. Evaluation Methods and General Results (2014) — 348 citations
- Assessing protein–ligand interaction scoring functions with the CASF-2013 benchmark (2018) — 107 citations