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Richard R. Neubig

dblp:72/2965 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0003-0501-0008ORCID · corroborated

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Applied, interdisciplinary, general and emerging computing · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
g-protein coupled receptor
0.112010
GPCR-OKB: the G Protein Coupled Receptor Oligomer Knowledge Base · Bioinform. 2010
Bioinformatics and computational biology
ontology
0.112010
GPCR-OKB: the G Protein Coupled Receptor Oligomer Knowledge Base · Bioinform. 2010
YearPublicationVenuePosition
2010 GPCR-OKB: the G Protein Coupled Receptor Oligomer Knowledge Base
abstract
SUMMARY: Rapid expansion of available data about G Protein Coupled Receptor (GPCR) dimers/oligomers over the past few years requires an effective system to organize this information electronically. Based on an ontology derived from a community dialog involving colleagues using experimental and computational methodologies, we developed the GPCR-Oligomerization Knowledge Base (GPCR-OKB). GPCR-OKB is a system that supports browsing and searching for GPCR oligomer data. Such data were manually derived from the literature. While focused on GPCR oligomers, GPCR-OKB is seamlessly connected to GPCRDB, facilitating the correlation of information about GPCR protomers and oligomers. AVAILABILITY AND IMPLEMENTATION: The GPCR-OKB web application is freely available at http://www.gpcr-okb.org
George Khelashvili, Kevin C. Dorff, Jufang Shan, Marta Camacho-Artacho, Lucy Skrabanek, Bas Vroling, Michel Bouvier, Lakshmi Devi, Susan R. George, Jonathan A. Javitch, Martin J. Lohse, Graeme Milligan, Richard R. Neubig, Krzysztof Palczewski, Marc Parmentier, Jean-Philippe Pin, Gert Vriend, Fabien Campagne, Marta Filizola
Bioinform.13
2010 Phase-Locked Signals Elucidate Circuit Architecture of an Oscillatory Pathway
abstract
This paper introduces the concept of phase-locking analysis of oscillatory cellular signaling systems to elucidate biochemical circuit architecture. Phase-locking is a physical phenomenon that refers to a response mode in which system output is synchronized to a periodic stimulus; in some instances, the number of responses can be fewer than the number of inputs, indicative of skipped beats. While the observation of phase-locking alone is largely independent of detailed mechanism, we find that the properties of phase-locking are useful for discriminating circuit architectures because they reflect not only the activation but also the recovery characteristics of biochemical circuits. Here, this principle is demonstrated for analysis of a G-protein coupled receptor system, the M3 muscarinic receptor-calcium signaling pathway, using microfluidic-mediated periodic chemical stimulation of the M3 receptor with carbachol and real-time imaging of resulting calcium transients. Using this approach we uncovered the potential importance of basal IP3 production, a finding that has important implications on calcium response fidelity to periodic stimulation. Based upon our analysis, we also negated the notion that the Gq-PLC interaction is switch-like, which has a strong influence upon how extracellular signals are filtered and interpreted downstream. Phase-locking analysis is a new and useful tool for model revision and mechanism elucidation; the method complements conventional genetic and chemical tools for analysis of cellular signaling circuitry and should be broadly applicable to other oscillatory pathways.
Andreja Jovic, Bryan Howell, Michelle Cote, Susan M. Wade, Khamir Mehta, Atsushi Miyawaki, Richard R. Neubig, Jennifer J. Linderman, Shuichi Takayama
PLoS Comput. Biol.7
2007 Requirements and ontology for a G protein-coupled receptor oligomerization knowledge base
abstract
BACKGROUND: G Protein-Coupled Receptors (GPCRs) are a large and diverse family of membrane proteins whose members participate in the regulation of most cellular and physiological processes and therefore represent key pharmacological targets. Although several bioinformatics resources support research on GPCRs, most of these have been designed based on the traditional assumption that monomeric GPCRs constitute the functional receptor unit. The increase in the frequency and number of reports about GPCR dimerization/oligomerization and the implication of oligomerization in receptor function makes necessary the ability to store and access information about GPCR dimers/oligomers electronically. RESULTS: We present here the requirements and ontology (the information scheme to describe oligomers and associated concepts and their relationships) for an information system that can manage the elements of information needed to describe comprehensively the phenomena of both homo- and hetero-oligomerization of GPCRs. The comprehensive information management scheme that we plan to use for the development of an intuitive and user-friendly GPCR-Oligomerization Knowledge Base (GPCR-OKB) is the result of a community dialog involving experimental and computational colleagues working on GPCRs. CONCLUSION: Our long term goal is to disseminate to the scientific community organized, curated, and detailed information about GPCR dimerization/oligomerization and its related structural context. This information will be reported as close to the data as possible so the user can make his own judgment on the conclusions drawn for a particular study. The requirements and ontology described here will facilitate the development of future information systems for GPCR oligomers that contain both computational and experimental information about GPCR oligomerization. This information is freely accessible at http://www.gpcr-okb.org.
Lucy Skrabanek, Marta Murcia, Michel Bouvier, Lakshmi Devi, Susan R. George, Martin J. Lohse, Graeme Milligan, Richard R. Neubig, Krzysztof Palczewski, Marc Parmentier, Jean-Philippe Pin, Gert Vriend, Jonathan A. Javitch, Fabien Campagne, Marta Filizola
BMC Bioinform.8