Brian D. Weitzner
Molecular Biology · 2011–2023
A researcher in the Science corpus: 14 papers; trusts 36 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 529 citations into it; #9,342 of 17,773 by trust here, #4,614 by citations
- Materials Chemistry — 239 citations into it
- Computational Biology & Bioinformatics — 111 citations into it
- Radiology, Nuclear Medicine and Imaging — 102 citations into it; #2,857 of 3,265 by trust here, #1,825 by citations
- Computational Theory and Mathematics — 70 citations into it
- Spectroscopy — 51 citations into it
- Computational Chemistry & Drug Discovery — 48 citations into it
- Immunology — 25 citations into it; #1,938 of 2,160 by trust here, #1,297 by citations
Whom Brian D. Weitzner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rhiju Das
- Adrian A. Canutescu
- Amelie Stein
- David Baker
- Tanja Kortemme
- Roland L. Dunbrack
- Jeffrey J. Gray
- Cyrus Chothia
- Andrew Leaver-Fay
- Michael D. Tyka
Who trusts Brian D. Weitzner overall
- J. Jeliazkov
- Jared Adolf-Bryfogle
- Jeffrey J. Gray
- Gideon Lapidoth
- Julia Koehler Leman
- Sergey Lyskov
- Paolo Marcatili
- Brian Joseph Bender
- Nicholas A. Marze
- Rebecca F. Alford
Papers from Brian D. Weitzner's perspective
Ordered by how strongly the researchers Brian D. Weitzner trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- The Protein Data Bank.
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
- Comprehensive Analysis of Loops at Protein-Protein Interfaces for Macrocycle Design
Their papers
- Serverification of Molecular Modeling Applications: The Rosetta Online Server That Includes Everyone (ROSIE) (2013) — 417 citations
- Benchmarking and Analysis of Protein Docking Performance in Rosetta v3.2 (2011) — 317 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
- Blind prediction performance of RosettaAntibody 3.0: Grafting, relaxation, kinematic loop modeling, and full CDR optimization (2014) — 95 citations
- Modeling and docking antibody structures with Rosetta (2017) — 253 citations
- Real-Time PyMOL Visualization for Rosetta and PyRosetta (2011) — 89 citations
- OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization (2023) — 435 citations
- Designing Peptides on a Quantum Computer (2019) — 58 citations
- Accurate structure prediction of CDR H3 loops enabled by a novel structure-based C-terminal constraint (2016) — 47 citations
- Better together: Elements of successful scientific software development in a distributed collaborative community (2020) — 37 citations
- De novo design of potent and selective mimics of IL-2 and IL-15 (2019) — 474 citations
- Integration of the Rosetta suite with the python software stack via reproducible packaging and core programming interfaces for distributed simulation (2019) — 18 citations
- RosettaAntibodyDesign (RAbD): A general framework for computational antibody design (2017) — 233 citations