Patrick Barth

Molecular Biology · 2007–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 290 citations into it; #7,432 of 17,773 by trust here, #9,600 by citations
• Materials Chemistry — 138 citations into it
• Computational Theory and Mathematics — 52 citations into it
• Computational Biology & Bioinformatics — 30 citations into it
• Atomic and Molecular Physics, and Optics — 9 citations into it

Whom Patrick Barth trusts overall

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

1. David Baker
2. Adam T. Zemla
3. Vladimir Yarov-Yarovoy

Who trusts Patrick Barth overall

1. Rebecca F. Alford
2. Sergey Ovchinnikov
3. David E. Kim
4. Katrin Reichel
5. Julia Koehler Leman
6. David Baker
7. Hetunandan Kamisetty
8. Frank DiMaio
9. Patrick J. Fleming
10. Jeffrey J. Gray

Papers from Patrick Barth's perspective

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

1. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
2. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
3. Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
4. Repurposing Citizen Science Games as Software Tools for Professional Scientists
5. A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
6. Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
7. Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
8. Effective energy function for proteins in solution
9. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
10. Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers

Their papers

• Toward high-resolution prediction and design of transmembrane helical protein structures (2007) — 234 citations
• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• Enhancing structure prediction and design of soluble and membrane proteins with explicit solvent-protein interactions (2017) — 23 citations