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Biology and Biochemistry

D-Index
88
Citations
35514
World Ranking
2657
National Ranking
1382

Overview

Richard Bonneau is affiliated with New York University in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions to Molecular Biology as a central subfield. Other notable subfields include Sociology and Political Science, Communication, Materials Chemistry, and Artificial Intelligence.

Bonneau's work spans a range of topics, including:

  • Protein Structure and Dynamics
  • Machine Learning in Bioinformatics
  • Social Media and Politics
  • Single-cell and Spatial Transcriptomics
  • Gut Microbiota and Health
  • RNA and Protein Synthesis Mechanisms
  • Genomics and Phylogenetic Studies

Their publication record features frequent contributions to venues such as bioRxiv (Cold Spring Harbor Laboratory), SSRN Electronic Journal, arXiv (Cornell University), OPAL (Open@LaTrobe) from La Trobe University, and Nature Communications.

Several recent papers illustrate the range and focus of Bonneau's research. These include:

  • Structure-based protein function prediction using graph convolutional networks, 2021, Nature Communications
  • SARS-CoV-2 RNA concentrations in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases, 2021, The Science of The Total Environment
  • GABA-receptive microglia selectively sculpt developing inhibitory circuits, 2021, Cell
  • OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization, 2024, Nature Methods
  • Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments, 2020, eLife

Collaborations are an important aspect of their scholarly activity. Notable frequent coauthors include Vladimir Gligorijević, Jonathan Nagler, Joshua A. Tucker, Kyunghyun Cho, and P. Douglas Renfrew.

Best Publications

  • Sparse and Compositionally Robust Inference of Microbial Ecological Networks

    Zachary D. Kurtz;Christian L. Müller;Emily R. Miraldi;Dan R. Littman

  • The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

    Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara

  • The mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts

    Alexander G. Baltz;Mathias Munschauer;Björn Schwanhäusser;Alexandra Vasile

  • A Validated Regulatory Network for Th17 Cell Specification

    Maria Ciofani;Aviv Madar;Aviv Madar;Carolina Galan;MacLean Sellars

  • Innate immune detection of the type III secretion apparatus through the NLRC4 inflammasome

    Edward A. Miao;Dat P. Mao;Natalya Yudkovsky;Richard Bonneau

  • High-definition spatial transcriptomics for in situ tissue profiling.

    Sanja Vickovic;Sanja Vickovic;Gökcen Eraslan;Fredrik Salmén;Johanna Klughammer

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • Structure-based protein function prediction using graph convolutional networks.

    Vladimir Gligorijević;P. Douglas Renfrew;Tomasz Kosciolek;Tomasz Kosciolek;Julia Koehler Leman

  • Ab initio protein structure prediction of CASP III targets using ROSETTA

    Kim T. Simons;Rich Bonneau;Ingo Ruczinski;David Baker

  • The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

    Richard A. Bonneau;Richard A. Bonneau;David J Reiss;Paul Shannon;Marc T. Facciotti

  • An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responses

    Teruyuki Sano;Wendy Huang;Jason A. Hall;Yi Yang

  • Why are there hotspot mutations in the TP53 gene in human cancers

    Evan H Baugh;Hua Ke;Arnold J Levine;Richard A Bonneau

  • Accurate de novo design of hyperstable constrained peptides.

    Gaurav Bhardwaj;Vikram Khipple Mulligan;Christopher D. Bahl;Jason M. Gilmore

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • Helminth infection promotes colonization resistance via type 2 immunity

    Deepshika Ramanan;Rowann Bowcutt;Soo Ching Lee;Mei San Tang

  • Ab Initio Protein Structure Prediction: Progress and Prospects

    Richard Bonneau;David Baker

  • c-MAF-dependent regulatory T cells mediate immunological tolerance to a gut pathobiont

    Mo Xu;Maria Pokrovskii;Yi Ding;Ren Yi

  • Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE).

    Sergey Lyskov;Fang Chieh Chou;Shane Ó Conchúir;Bryan S. Der

  • Rosetta in CASP4: Progress in ab initio protein structure prediction

    Richard Bonneau;Jerry Tsai;Ingo Ruczinski;Dylan Chivian

  • Genome sequence of Haloarcula marismortui: A halophilic archaeon from the Dead Sea

    Nitin S. Baliga;Richard Bonneau;Marc T. Facciotti;Min Pan

Frequent Co-Authors

Dan R. Littman
Dan R. Littman New York University
Joshua A. Tucker
Joshua A. Tucker New York University
Jonathan Nagler
Jonathan Nagler New York University
David Baker
David Baker University of Washington
Nitin S. Baliga
Nitin S. Baliga University of Washington
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Kent Kirshenbaum
Kent Kirshenbaum New York University
Tanja Kortemme
Tanja Kortemme University of California, San Francisco
John T. Jost
John T. Jost New York University

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