Philip E. Bourne
Molecular Biology · 1998–2019
A researcher in the Science corpus: 24 papers; trusts 37 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 226 citations into it; #5,767 of 17,773 by trust here, #1,418 by citations
- Materials Chemistry — 73 citations into it; #4,913 of 11,513 by trust here, #2,742 by citations
- Computational Biology & Bioinformatics — 63 citations into it; #480 of 660 by trust here, #41 by citations
- Computational Theory and Mathematics — 52 citations into it
- Spectroscopy — 38 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Pharmacology — 16 citations into it
- Physical and Theoretical Chemistry — 6 citations into it
Whom Philip E. Bourne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven E. Brenner
- Weizhong Li
- Anders Krogh
- Kevin J. Karplus
- Stephen F. Altschul
- Sean R. Eddy
- Cyrus Chothia
- Ilya N. Shindyalov
- Liisa Holm
- Richard Durbin
Who trusts Philip E. Bourne overall
- Yang Zhang
- Robert C. Edgar
- Jimin Pei
- Adam T. Zemla
- Morten Nielsen
- Yuzhen Ye
- Peter W. Rose
- Guoli Wang
- Marc A. Martí-Renom
- Srayanta Mukherjee
Papers from Philip E. Bourne's perspective
Ordered by how strongly the researchers Philip E. Bourne trusts endorse each paper. Same corpus, a different order for every researcher.
- The Pfam protein families database
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The Protein Data Bank.
- Basic local alignment search tool.
- Assessing sequence comparison methods with reliable structurally identified distant evolutionary relationships.
- Hidden Markov models in computational biology. Applications to protein modeling.
- Hidden Markov models for detecting remote protein homologies
- Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods.
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
- The Impact of Structural Genomics: Expectations and Outcomes (Science)
Their papers
- Outcome of a workshop on archiving structural models of biological macromolecules. (2006) — 64 citations
- The RCSB Protein Data Bank: views of structural biology for basic and applied research and education (2014) — 509 citations
- The RCSB Protein Data Bank: new resources for research and education (2012) — 532 citations
- The RCSB Protein Data Bank: redesigned web site and web services (2010) — 668 citations
- The RCSB Protein Data Bank: a redesigned query system and relational database based on the mmCIF schema (2004) — 346 citations
- Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction (2006) — 13 citations
- The RCSB PDB information portal for structural genomics (2005) — 459 citations
- The Protein Data Bank and the challenge of structural genomics (2000) — 560 citations
- SuperTarget and Matador: resources for exploring drug-target relationships (2007) — 608 citations
- The Immune Epitope Database and Analysis Resource: From Vision to Blueprint (2005) — 309 citations
- Drug Discovery Using Chemical Systems Biology: Repositioning the Safe Medicine Comtan to Treat Multi-Drug and Extensively Drug Resistant Tuberculosis (2009) — 330 citations
- The Molecular Biology Toolkit (MBT): a modular platform for developing molecular visualization applications (2005) — 304 citations
- Immune epitope database analysis resource (IEDB-AR) (2008) — 391 citations
- ElliPro: a new structure-based tool for the prediction of antibody epitopes (2008) — 1,634 citations
- The FAIR Guiding Principles for scientific data management and stewardship (2016) — 15,766 citations
- Pre-calculated protein structure alignments at the RCSB PDB website (2010) — 211 citations
- Immune epitope database analysis resource (2012) — 514 citations
- Structure-based Systems Biology for Analyzing Off-target Binding (2011) — 152 citations
- How open science helps researchers succeed (2016) — 636 citations
- Exploiting sequence and structure homologs to identify protein–protein binding sites (2005) — 101 citations