James R Faeder

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66 articoli

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William S. HlavacekTheoretical Division, Los Alamos National LaboratoryEmail verificata su lanl.gov
Byron GoldsteinLaboratory Fellow, Theoretical Biology and Biophysics Group, Los Alamos National LaboratoryEmail verificata su lanl.gov
Natasa Miskov-ZivanovUniversity of Pittsburgh, ECE, BioE, CompBioEmail verificata su pitt.edu
Leonard A. HarrisUniversity of Arkansas, Department of Biomedical EngineeringEmail verificata su uark.edu
Jose Juan TapiaData Scientist, Monsanto CompanyEmail verificata su pitt.edu
Penelope MorelProfessor of Immunology, University of PittsburghEmail verificata su pitt.edu
John Arul Prakash SekarChief Scientist, Astralinx IncEmail verificata su astralinx.com
Robert P SheehanHarvard Medical SchoolEmail verificata su hms.harvard.edu
Richard G. PosnerProfessor Northern Arizona UniversityEmail verificata su nau.edu
Edmund ClarkeUniversity Professor Emeritus at Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Paolo ZulianiAssociate Professor, Dipartimento di Informatica, Università di Roma "La Sapienza", Rome, ItalyEmail verificata su di.uniroma1.it
Jin YangCAS-MPG Partner Institute for Computational Biology, Shanghai, ChinaEmail verificata su alumni.rice.edu
Thierry EmonetMolecular Cellular and Developmental Biology & Physics, Yale UniversityEmail verificata su yale.edu
Gary AnUniversity of VermontEmail verificata su med.uvm.edu
G. Elisabeta MaraiProfessor of Computer Science, University of Illinois ChicagoEmail verificata su uic.edu
Ambarish NagResearcher IV, National Renewable Energy LaboratoryEmail verificata su nrel.gov
Robert F. MurphyProfessor of Computational Biology Emeritus, Carnegie Mellon UniversityEmail verificata su cmu.edu
Michael W. SneddonDirector of Scientific Computing, PredicineEmail verificata su predicine.com
Tomasz LipniackiInstitute of Fundamental Technological ResearchEmail verificata su ippt.gov.pl
Arshi AroraMemorial Sloan Kettering Cancer CenterEmail verificata su mskcc.org

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James R Faeder

University of Pittsburgh

Email verificata su pitt.edu - Home page

Signal transduction systems biology kinetic modeling


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Rule-based modeling of biochemical systems with BioNetGen JR Faeder, ML Blinov, WS Hlavacek Systems biology, 113-167, 2009	558	2009
BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains ML Blinov, JR Faeder, B Goldstein, WS Hlavacek Bioinformatics 20 (17), 3289-3291, 2004	525	2004
Molecular dynamics simulations of the interior of aqueous reverse micelles J Faeder, BM Ladanyi The Journal of Physical Chemistry B 104 (5), 1033-1046, 2000	507	2000
Rules for modeling signal-transduction systems WS Hlavacek, JR Faeder, ML Blinov, RG Posner, M Hucka, W Fontana Science's STKE 2006 (344), re6-re6, 2006	463	2006
Efficient modeling, simulation and coarse-graining of biological complexity with NFsim MW Sneddon, JR Faeder, T Emonet Nature methods 8 (2), 177-183, 2011	379	2011
The complexity of complexes in signal transduction WS Hlavacek, JR Faeder, ML Blinov, AS Perelson, B Goldstein Biotechnology and bioengineering 84 (7), 783-794, 2003	268	2003
Mathematical and computational models of immune-receptor signalling B Goldstein, JR Faeder, WS Hlavacek Nature Reviews Immunology 4 (6), 445-456, 2004	266	2004
SBML Level 3: an extensible format for the exchange and reuse of biological models SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ... Molecular systems biology 16 (8), e9110, 2020	257	2020
BioNetGen 2.2: advances in rule-based modeling LA Harris, JS Hogg, JJ Tapia, JAP Sekar, S Gupta, I Korsunsky, A Arora, ... Bioinformatics 32 (21), 3366-3368, 2016	255	2016
Investigation of early events in FcεRI-mediated signaling using a detailed mathematical model JR Faeder, WS Hlavacek, I Reischl, ML Blinov, H Metzger, A Redondo, ... The Journal of Immunology 170 (7), 3769-3781, 2003	220	2003
A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity ML Blinov, JR Faeder, B Goldstein, WS Hlavacek Biosystems 83 (2-3), 136-151, 2006	211	2006
Solvation dynamics in aqueous reverse micelles: a computer simulation study J Faeder, BM Ladanyi The Journal of Physical Chemistry B 105 (45), 11148-11158, 2001	190	2001
Rule‐based modeling of biochemical networks JR Faeder, ML Blinov, B Goldstein, WS Hlavacek Complexity 10 (4), 22-41, 2005	178	2005
Rule‐based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems LA Chylek, LA Harris, CS Tung, JR Faeder, CF Lopez, WS Hlavacek Wiley Interdisciplinary Reviews: Systems Biology and Medicine 6 (1), 13-36, 2014	168	2014
Kinetic Monte Carlo method for rule-based modeling of biochemical networks J Yang, MI Monine, JR Faeder, WS Hlavacek Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 78 (3 …, 2008	154	2008
Statistical Model Checking in BioLab: Applications to the Automated Analysis of T-Cell Receptor Signaling Pathway EM Clarke, JR Faeder, CJ Langmead, LA Harris, SK Jha, A Legay Computational Methods in Systems Biology: 6th International Conference CMSB …, 2008	145	2008
The duration of T cell stimulation is a critical determinant of cell fate and plasticity N Miskov-Zivanov, MS Turner, LP Kane, PA Morel, JR Faeder Science signaling 6 (300), ra97-ra97, 2013	144	2013
Solvation dynamics in reverse micelles: the role of headgroup− solute interactions J Faeder, BM Ladanyi The Journal of Physical Chemistry B 109 (14), 6732-6740, 2005	132	2005
Molecular dynamics simulations of the interior of aqueous reverse micelles: A comparison between sodium and potassium counterions J Faeder, MV Albert, BM Ladanyi Langmuir 19 (6), 2514-2520, 2003	129	2003
Toward a quantitative theory of intrinsically disordered proteins and their function J Liu, JR Faeder, CJ Camacho Proceedings of the National Academy of Sciences 106 (47), 19819-19823, 2009	121	2009

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