Sérgio Filipe Sousa

Molecular Biology · 2006–2013

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 72 citations into it; #3,527 of 17,773 by trust here, #7,574 by citations
• Computational Theory and Mathematics — 69 citations into it; #3,327 of 12,182 by trust here, #1,851 by citations
• Computational Chemistry & Drug Discovery — 67 citations into it; #109 of 425 by trust here, #205 by citations
• Materials Chemistry — 28 citations into it
• Organic Chemistry — 15 citations into it; #143 of 1,495 by trust here, #599 by citations
• Radiology, Nuclear Medicine and Imaging — 9 citations into it

Whom Sérgio Filipe Sousa trusts overall

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

1. Marcel L. Verdonk
2. Shengyou Huang
3. Holger Gohlke
4. W. L. Jorgensen
5. Irwin D. Kuntz
6. Garrett M. Morris
7. Jason C. Cole
8. Christopher W. Murray
9. Renxiao Wang
10. Matthias Rarey

Who trusts Sérgio Filipe Sousa overall

1. Zsolt Bikádi
2. B. Gorelik
3. Zhong-Ru Xie
4. Jacob D. Durrant
5. Garrett M. Morris
6. L. Ferreira
7. Maria Batool
8. Nicolas Moitessier
9. Ruth Huey
10. Xing Du

Papers from Sérgio Filipe Sousa's perspective

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

1. DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
2. A new test set for validating predictions of protein–ligand interaction (Proteins: Structure, Function, and Bioinformatics)
3. EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases
4. Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
5. Improved protein–ligand docking using GOLD
6. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
7. A new concept for multidimensional selection of ligand conformations (MultiSelect) and multidimensional scoring (MultiScore) of protein-ligand binding affinities.
8. A general and fast scoring function for protein-ligand interactions: a simplified potential approach.
9. Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
10. A computational procedure for determining energetically favorable binding sites on biologically important macromolecules.

Their papers

• Protein–ligand docking: Current status and future challenges (2006) — 939 citations
• General performance of density functionals. (2007) — 956 citations
• Protein-ligand docking in the new millennium--a retrospective of 10 years in the field. (2013) — 236 citations