Junmei Wang
Molecular Biology · 2000–2020
A researcher in the Science corpus: 12 papers; trusts 27 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 111 citations into it; #1,506 of 17,773 by trust here, #1,445 by citations
- Computational Theory and Mathematics — 56 citations into it; #4,279 of 12,182 by trust here, #872 by citations
- Materials Chemistry — 44 citations into it; #4,589 of 11,513 by trust here, #4,508 by citations
- Atomic and Molecular Physics, and Optics — 33 citations into it; #4,093 of 7,135 by trust here, #3,995 by citations
- Computational Chemistry & Drug Discovery — 33 citations into it
- Spectroscopy — 15 citations into it; #305 of 1,674 by trust here, #309 by citations
- Cell Biology — 9 citations into it
- Physical and Theoretical Chemistry — 5 citations into it; #47 of 671 by trust here, #22 by citations
Whom Junmei Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rolf Hilgenfeld
- Jimin Pei
- Alexey V. Onufriev
- David A. Case
- Peter A. Kollman
- Wei Wang
- Tingjun Hou
- Noel M. O'Boyle
- Ercheng Wang
- Nick V. Grishin
Who trusts Junmei Wang overall
- David L. Mobley
- Samuel Genheden
- Wenbo Yu
- A. W. Sousa da Silva
- Alexander Schug
- Theodora Katsila
- Alexander D. MacKerell
- S. Khan
- Jacob D. Durrant
- Eric J. Sorin
Papers from Junmei Wang's perspective
Ordered by how strongly the researchers Junmei Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- From SARS to MERS: crystallographic studies on coronaviral proteases enable antiviral drug design (The FEBS Journal)
- Automatic atom type and bond type perception in molecular mechanical calculations. (Journal of Molecular Graphics and Modelling)
- Open Babel: An open chemical toolbox
- PROMALS: towards accurate multiple sequence alignments of distantly related proteins
- Proteins
- DrugBank 4.0: shedding new light on drug metabolism
- Protein data bank
- Extension of the CHARMM General Force Field to Sulfonyl-Containing Compounds and Its Utility in Biomolecular Simulations (Journal of Computational Chemistry)
- Recent Advances in Free Energy Calculations with a Combination of Molecular Mechanics and Continuum Models
- GPU-accelerated molecular dynamics and free energy methods in Amber18: performance enhancements and new features (Journal of Chemical Information and Modeling)
Their papers
- A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculations (2003) — 4,215 citations
- How well does a restrained electrostatic potential (RESP) model perform in calculating conformational energies of organic and biological molecules? (2000) — 3,452 citations
- Development and testing of a general amber force field (2004) — 17,585 citations
- Automatic atom type and bond type perception in molecular mechanical calculations. (2006) — 5,066 citations
- Use of MM-PBSA in reproducing the binding free energies to HIV-1 RT of TIBO derivatives and predicting the binding mode to HIV-1 RT of efavirenz by docking and MM-PBSA. (2001) — 685 citations
- Assessing the performance of the MM/PBSA and MM/GBSA methods: I. The accuracy of binding free energy calculations based on molecular dynamics simulations (2010) — 2,526 citations
- End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design. (2019) — 1,862 citations
- Assessing the performance of the MM/PBSA and MM/GBSA methods: II. The accuracy of ranking poses generated from docking (2010) — 711 citations
- Recent Advances in Free Energy Calculations with a Combination of Molecular Mechanics and Continuum Models (2006) — 362 citations
- Fast Identification of Possible Drug Treatment of Coronavirus Disease −19 (COVID-19) Through Computational Drug Repurposing Study (2020) — 430 citations
- A fast and high-quality charge model for the next generation general AMBER force field. (2020) — 665 citations
- The application of in silico drug-likeness predictions in pharmaceutical research. (2015) — 441 citations