Rebecca F. Alford
Molecular Biology · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 367 citations into it; #17,448 of 17,773 by trust here, #3,963 by citations
- Materials Chemistry — 167 citations into it
- Computational Biology & Bioinformatics — 48 citations into it
Whom Rebecca F. Alford trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Baker
- Patrick Barth
- Tanja Kortemme
- Mikhail A. Lomize
- Andrew Leaver-Fay
- J. Schonbrun
- Michael D. Tyka
- Yang Zhang
- Rhiju Das
- Frank DiMaio
Who trusts Rebecca F. Alford overall
- Xingjie Pan
- Julia Koehler Leman
- Namrata Anand
- Enrique Marcos
- Minkyung Baek
- Tanja Kortemme
- K. Kappel
- Santrupti Nerli
- Daniel Peñas-Utrilla
- Jared Adolf-Bryfogle
Papers from Rebecca F. Alford's perspective
Ordered by how strongly the researchers Rebecca F. Alford trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- 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
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
- Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
Their papers
- The Rosetta all-atom energy function for macromolecular modeling and design (2017) — 1,486 citations
- An Integrated Framework Advancing Membrane Protein Modeling and Design (2015) — 154 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Protein Structure Prediction and Design in a Biologically Realistic Implicit Membrane. (2020) — 23 citations