Michael K. Gilson

Molecular Biology · 2002–2021

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 86 citations into it; #3,117 of 17,773 by trust here, #2,783 by citations
• Computational Theory and Mathematics — 62 citations into it; #4,265 of 12,182 by trust here, #428 by citations
• Computational Chemistry & Drug Discovery — 30 citations into it
• Spectroscopy — 16 citations into it
• Computational Biology & Bioinformatics — 15 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it

Whom Michael K. Gilson trusts overall

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

1. S. Parasuraman
2. Michael R. Shirts
3. John D. Chodera
4. Stephen F. Altschul
5. Arnold Neumaier
6. Antonina Andreeva
7. David Weininger
8. Brian K. Shoichet
9. Michael R. Berthold
10. Renxiao Wang

Who trusts Michael K. Gilson overall

1. Shengyou Huang
2. Lei Xie
3. Xing Du
4. Xiaoqin Zou
5. Gisbert Schneider
6. Anna Gaulton
7. Rose Oughtred
8. Luca Pinzi
9. Shuangjia Zheng
10. Li Xie

Papers from Michael K. Gilson's perspective

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

1. The Protein Data Bank.
2. Basic local alignment search tool.
3. BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
4. DrugBank 4.0: shedding new light on drug metabolism
5. The ChEMBL bioactivity database: an update
6. The PDBbind database: methodologies and updates.
7. Data growth and its impact on the SCOP database: new developments
8. Protein data bank
9. UniChem: a unified chemical structure cross-referencing and identifier tracking system
10. Ultra-large library docking for discovering new chemotypes (Nature)

Their papers

• BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities (2006) — 2,021 citations
• D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies (2019) — 113 citations
• BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology (2015) — 1,423 citations
• Calculation of protein-ligand binding affinities. (2007) — 926 citations
• Accelerated Poisson–Boltzmann calculations for static and dynamic systems (2002) — 434 citations
• Predicting binding free energies: Frontiers and benchmarks (2016) — 354 citations
• CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding (2021) — 83 citations
• Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset (2016) — 338 citations