Tim M. Jacobs
Molecular Biology · 2015–2020
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 297 citations into it
- Materials Chemistry — 138 citations into it
- Computational Theory and Mathematics — 48 citations into it
- Computational Biology & Bioinformatics — 33 citations into it
- Organic Chemistry — 13 citations into it
Whom Tim M. Jacobs trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roland L. Dunbrack
- Tanja Kortemme
- Colin A. Smith
- Brian Kuhlman
- Amelie Stein
- Kim D. Pruitt
- Andrew Leaver-Fay
- Chen Yanover
- David Baker
Who trusts Tim M. Jacobs overall
Papers from Tim M. Jacobs's perspective
Ordered by how strongly the researchers Tim M. Jacobs trusts endorse each paper. Same corpus, a different order for every researcher.
- Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction.
- Native protein sequences are close to optimal for their structures.
- 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.
- Repurposing Citizen Science Games as Software Tools for Professional Scientists
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Rotamer libraries in the 21st century.
Their papers
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Design of structurally distinct proteins using strategies inspired by evolution (2016) — 134 citations
- Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences (2015) — 39 citations