Patrick Conway
Molecular Biology · 2014–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 272 citations into it; #6,482 of 17,773 by trust here, #7,657 by citations
- Materials Chemistry — 125 citations into it; #3,855 of 11,513 by trust here, #6,301 by citations
Whom Patrick Conway trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael D. Tyka
- Ruben Abagyan
- David Baker
- Vincent B. Chen
- Daniel A. Keedy
- Maxim Totrov
- Bernard R. Brooks
Who trusts Patrick Conway overall
- Sergey Ovchinnikov
- Hahnbeom Park
- David Baker
- David E. Kim
- Pablo Gainza
- Alex Ford
- Brian D. Weitzner
- Jared Adolf-Bryfogle
- Frank DiMaio
- Namrata Anand-Achim
Papers from Patrick Conway's perspective
Ordered by how strongly the researchers Patrick Conway trusts endorse each paper. Same corpus, a different order for every researcher.
- MolProbity: all-atom structure validation for macromolecular crystallography
- Alternate states of proteins revealed by detailed energy landscape mapping
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
- On the limited memory BFGS method for large scale optimization
- CHARMM fluctuating charge force field for proteins: I parameterization and application to bulk organic liquid simulations (Journal of Computational Chemistry)
- CHARMM: The biomolecular simulation program
- ICM—A new method for protein modeling and design: Applications to docking and structure prediction from the distorted native conformation
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
- Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
Their papers
- Relaxation of backbone bond geometry improves protein energy landscape modeling (2014) — 399 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations