Brian Joseph Bender

Molecular Biology · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 397 citations into it; #12,423 of 17,773 by trust here, #8,791 by citations
• Materials Chemistry — 168 citations into it
• Radiology, Nuclear Medicine and Imaging — 64 citations into it; #2,274 of 3,265 by trust here, #3,066 by citations
• Computational Biology & Bioinformatics — 41 citations into it; #488 of 660 by trust here, #570 by citations
• Cellular and Molecular Neuroscience — 32 citations into it; #2,054 of 2,998 by trust here, #2,766 by citations

Whom Brian Joseph Bender trusts overall

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

1. Robert C. Edgar
2. Fabian Sievers
3. Charles S. Bond
4. Håkan Viklund
5. Desmond G. Higgins
6. David C. Jones
7. Carol A. Rohl
8. Andrew Leaver-Fay
9. Cédric Notredame
10. Andrej Sali

Who trusts Brian Joseph Bender overall

1. Lim Heo
2. Albert J. Kooistra
3. Michael Feig
4. Joe G. Greener
5. Bian Li
6. Francesco Gentile
7. Alexander M. Sevy

Papers from Brian Joseph Bender's perspective

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

1. The Protein Data Bank.
2. Comparative protein modelling by satisfaction of spatial restraints.
3. Basic local alignment search tool.
4. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
5. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
6. Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
7. Repurposing Citizen Science Games as Software Tools for Professional Scientists
8. A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
9. Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
10. UCSF Chimera—A visualization system for exploratory research and analysis

Their papers

• Protocols for Molecular Modeling with Rosetta3 and RosettaScripts (2016) — 176 citations
• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs (2020) — 37 citations
• A practical guide to large-scale docking (2021) — 431 citations
• Structural basis of ligand binding modes at the neuropeptide Y Y1 receptor (2018) — 127 citations