Brian G. Pierce
Molecular Biology · 2005–2021
A researcher in the Science corpus: 18 papers; trusts 50 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 523 citations into it; #1,194 of 17,773 by trust here, #1,972 by citations
- Materials Chemistry — 238 citations into it; #3,907 of 11,513 by trust here, #5,258 by citations
- Computational Theory and Mathematics — 110 citations into it; #1,888 of 12,182 by trust here, #872 by citations
- Computational Biology & Bioinformatics — 100 citations into it
- Radiology, Nuclear Medicine and Imaging — 83 citations into it; #1,557 of 3,265 by trust here, #869 by citations
- Spectroscopy — 44 citations into it
- Immunology — 33 citations into it; #1,558 of 2,160 by trust here, #1,984 by citations
- Computational Chemistry & Drug Discovery — 27 citations into it
Whom Brian G. Pierce trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhiping Weng
- Howook Hwang
- Jeffrey J. Gray
- Rong Chen
- Thom Vreven
- Aroop Sircar
- Li Li
- D. Ritchie
- Joël Janin
- Markus G. Rudolph
Who trusts Brian G. Pierce overall
- Xiao Wang
- Rui Yin
- Ragul Gowthaman
- Iain H. Moal
- Isak Johansson-Åkhe
- András Szilágyi
- Sean T. Flannery
- Zhiping Weng
- Shengyou Huang
- Björn Wallner
Papers from Brian G. Pierce's perspective
Ordered by how strongly the researchers Brian G. Pierce trusts endorse each paper. Same corpus, a different order for every researcher.
- TM-align: a protein structure alignment algorithm based on the TM-score
- A protein–protein docking benchmark (Proteins: Structure, Function, and Bioinformatics)
- Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
- Docking and scoring protein complexes: CAPRI 3rd Edition
- Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
- Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
- Robust, high-throughput solution structural analyses by small angle X-ray scattering (SAXS) (Nature Methods)
- HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.
- Prediction of protein-protein interactions by docking methods. (Current Opinion in Structural Biology)
- Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
Their papers
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes (2014) — 10 citations
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes (2013) — 100 citations
- Accelerating Protein Docking in ZDOCK Using an Advanced 3D Convolution Library (2011) — 608 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- ZRANK: Reranking protein docking predictions with an optimized energy function (2007) — 461 citations
- Protein–protein docking benchmark 2.0: An update (2005) — 301 citations
- ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers (2014) — 1,649 citations
- Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
- Integrating statistical pair potentials into protein complex prediction (2007) — 333 citations
- Factorbook.org: a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium (2012) — 297 citations
- Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
- Updates to the integrated protein-protein interaction benchmarks: Docking benchmark version 5 and affinity benchmark version 2 (2015) — 424 citations
- Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors (2012) — 872 citations
- Performance of ZDOCK and ZRANK in CAPRI Rounds 13 - 19 (2010) — 84 citations
- Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants (2021) — 270 citations
- TCRmodel: high resolution modeling of T cell receptors from sequence (2018) — 59 citations
- Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations