Wonpil Im

Molecular Biology · 2003–2022

A researcher in the Science corpus: 17 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 279 citations into it; #3,649 of 17,773 by trust here, #1,821 by citations
• Materials Chemistry — 88 citations into it; #8,598 of 11,513 by trust here, #6,247 by citations
• Spectroscopy — 37 citations into it; #1,228 of 1,674 by trust here, #693 by citations
• Computational Biology & Bioinformatics — 29 citations into it
• Computational Chemistry & Drug Discovery — 23 citations into it
• Physical and Theoretical Chemistry — 19 citations into it

Whom Wonpil Im trusts overall

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

1. Alexander D. MacKerell
2. Bernard R. Brooks
3. W. L. Jorgensen
4. Mikhail A. Lomize
5. Sunhwan Jo
6. Helen M. Berman
7. Yang Zhang

Who trusts Wonpil Im overall

1. Sunhwan Jo
2. Bercem Dutagaci
3. Michael Feig
4. Alexander D. MacKerell
5. Jumin Lee
6. Rebecca F. Alford

Papers from Wonpil Im's perspective

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

1. Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters (International Conference on Software Composition)
2. TM-align: a protein structure alignment algorithm based on the TM-score
3. Structure of lipid bilayers. (Biochimica et Biophysica Acta)
4. A smooth particle mesh Ewald method
5. OPM: Orientations of Proteins in Membranes database
6. How lipids affect the activities of integral membrane proteins. (Biochimica et Biophysica Acta)
7. Numerical recipes in C
8. Processing and analysis of CASP3 protein structure predictions
9. Comparison of simple potential functions for simulating liquid water
10. Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer (International Conference for High Performance Computing, Networking, Storage and Analysis)

Their papers

• CHARMM: The biomolecular simulation program (2009) — 8,319 citations
• CHARMM-GUI Membrane Builder for mixed bilayers and its application to yeast membranes. (2009) — 1,603 citations
• CHARMM‐GUI: A web‐based graphical user interface for CHARMM (2008) — 8,238 citations
• Automated Builder and Database of Protein/Membrane Complexes for Molecular Dynamics Simulations (2007) — 1,150 citations
• CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field (2015) — 3,937 citations
• Generalized born model with a simple smoothing function (2003) — 637 citations
• Theoretical and computational models of biological ion channels (2004) — 376 citations
• Performance comparison of generalized born and Poisson methods in the calculation of electrostatic solvation energies for protein structures (2004) — 553 citations
• CHARMM-GUI Membrane Builder Toward Realistic Biological Membrane Simulations (2014) — 2,421 citations
• CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans. (2018) — 577 citations
• Restricted N-glycan Conformational Space in the PDB and Its Implication in Glycan Structure Modeling (2013) — 35 citations
• CHARMM-GUI 10 Years for Biomolecular Modeling and Simulation (2016) — 315 citations
• Structural basis of neuropeptide Y signaling through Y1 receptor (2022) — 57 citations
• CHARMM-GUI supports the Amber force fields. (2020) — 374 citations
• CHARMM-GUI Glycan Modeler for modeling and simulation of carbohydrates and glycoconjugates (2019) — 333 citations
• CHARMM-GUI Ligand Reader & Modeler for CHARMM Force Field Generation of Small Molecules (2017) — 553 citations
• CHARMM-GUI Martini Maker for Coarse-Grained Simulations with the Martini Force Field. (2015) — 442 citations