Julia Koehler Leman
Molecular Biology · 2014–2021
A researcher in the Science corpus: 11 papers; trusts 68 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 504 citations into it; #4,524 of 17,773 by trust here, #6,960 by citations
- Materials Chemistry — 221 citations into it
- Computational Biology & Bioinformatics — 102 citations into it
- Computational Theory and Mathematics — 68 citations into it
- Spectroscopy — 62 citations into it
- Genetics — 17 citations into it; #5,258 of 6,854 by trust here, #3,366 by citations
- Natural Language Processing — 6 citations into it
Whom Julia Koehler Leman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Baker
- Gábor E. Tusnády
- David C. Jones
- Carol A. Rohl
- Tanja Kortemme
- Oliver F. Lange
- Yang Zhang
- Michael D. Tyka
- David T. Jones
- Mikhail A. Lomize
Who trusts Julia Koehler Leman overall
- Xingjie Pan
- Santrupti Nerli
- Rebecca F. Alford
- Tanja Kortemme
- Brian D. Weitzner
- Michael Feig
- Jeffrey J. Gray
- Nikolaos G. Sgourakis
- Sergey Lyskov
- Sheng Wang
Papers from Julia Koehler Leman's perspective
Ordered by how strongly the researchers Julia Koehler Leman trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
- Protein data bank
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- 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
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
Their papers
- 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
- Computing structure-based lipid accessibility of membrane proteins with mp_lipid_acc in RosettaMP (2016) — 27 citations
- Combining Evolutionary Information and an Iterative Sampling Strategy for Accurate Protein Structure Prediction (2015) — 22 citations
- Computational modeling of membrane proteins (2014) — 90 citations
- Structure-based protein function prediction using graph convolutional networks (2021) — 926 citations
- Improving Loop Modeling of the Antibody Complementarity-Determining Region 3 Using Knowledge-Based Restraints (2016) — 24 citations
- Better together: Elements of successful scientific software development in a distributed collaborative community (2020) — 37 citations
- Integrative protein modeling in RosettaNMR from sparse paramagnetic restraints (2019) — 31 citations
- A novel domain assembly routine for creating full-length models of membrane proteins from known domain structures (2017) — 10 citations
- Expanding the toolkit for membrane protein modeling in Rosetta (2016) — 41 citations