Gregory Sliwoski
Molecular Biology · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 123 citations into it
- Computational Theory and Mathematics — 62 citations into it; #6,884 of 12,182 by trust here, #2,689 by citations
- Materials Chemistry — 57 citations into it
- Computational Chemistry & Drug Discovery — 38 citations into it; #224 of 425 by trust here, #244 by citations
- Computational Biology & Bioinformatics — 17 citations into it
- Organic Chemistry — 16 citations into it; #467 of 1,495 by trust here, #661 by citations
- Pharmacology — 14 citations into it; #297 of 1,112 by trust here, #337 by citations
- Spectroscopy — 14 citations into it
Whom Gregory Sliwoski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapnik
- Renxiao Wang
- Roland L. Dunbrack
- Hans-Joachim Böhm
- Ajay N. Jain
- Sheng-yong Yang
- Ovidiu Ivanciuc
- W. L. Jorgensen
- John J. Irwin
- Jens Meiler
Who trusts Gregory Sliwoski overall
- Wenbo Yu
- Veronica Salmaso
- R. Quiroga
- Yudong Cao
- Suresh Dara
- Rona R. Ramsay
- Fei Liu
- Alexander D. MacKerell
- Stefano Moro
- Marcos A. Villarreal
Papers from Gregory Sliwoski's perspective
Ordered by how strongly the researchers Gregory Sliwoski trusts endorse each paper. Same corpus, a different order for every researcher.
- Basic local alignment search tool.
- A computational procedure for determining energetically favorable binding sites on biologically important macromolecules.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- A training algorithm for optimal margin classifiers
- The Protein Data Bank.
- MODBASE: a database of annotated comparative protein structure models and associated resources
- Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
- Benchmarking sets for molecular docking.
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
- The SWISS-MODEL Repository and associated resources
Their papers
- Protocols for Molecular Modeling with Rosetta3 and RosettaScripts (2016) — 176 citations
- Computational Methods in Drug Discovery (2014) — 1,984 citations