Jesper Ferkinghoff-Borg

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Thomas HamelryckBioinformatics center, University of CopenhagenEmail confirmado em binf.ku.dk
Luis SerranoProfesor de cine, Imagen y Sonido Email confirmado em eiso.es
Wouter BoomsmaAssociate Professor, Department of Computer Science, University of CopenhagenEmail confirmado em di.ku.dk
Jes FrellsenAssociate Professor, Technical University of Denmark (DTU)Email confirmado em dtu.dk
Kresten Lindorff-LarsenLinderstrøm-Lang Centre for Protein Science, Department of Biology, University of CopenhagenEmail confirmado em bio.ku.dk
Kanti MardiaSENIOR RESARCH PROFESSOR ,UNIVERSITY OF LEEDS AND UNIVERSITY OF OXFORDEmail confirmado em leeds.ac.uk
Mogens H. JensenProfessor of Complex Systems, Niels Bohr InstituteEmail confirmado em nbi.dk
Dr. Rune LindingHumboldt-Universität zu BerlinEmail confirmado em hu-berlin.de
Christian AndreettaUniv. of Copenhagen, Denmark, and Uni Computing, Uni Research, NorwayEmail confirmado em uni.no
Sandro BottaroUniversity of CopenhagenEmail confirmado em bio.ku.dk
Poul OlesenEmeritus Professor of Theoretical Physics, Niels Bohr InstituteEmail confirmado em nbi.dk
Thomas SamsTechnical University of DenmarkEmail confirmado em dtu.dk
Kim SneppenProfessor at Niels Bohr Institute, Copenhagen UniversityEmail confirmado em nbi.dk
Simon OlssonAssistant Professor, Chalmers University of TechnologyEmail confirmado em chalmers.se
Guido TianaUniversity of MilanoEmail confirmado em unimi.it
Pengfei TianProtein Design Scientist at Novozymes A/SEmail confirmado em nih.gov
Tim HarderResearch Scientist at Philips ResearchEmail confirmado em philips.com
Pedro BeltraoGroup Leader, EMBL-EBIEmail confirmado em ebi.ac.uk
Kristoffer Enøe JohanssonDepartment of Pharmacy, University of CopenhagenEmail confirmado em sund.ku.dk
Thomas R. CoxGarvan Institute of Medical ResearchEmail confirmado em garvan.org.au

Jesper Ferkinghoff-Borg

Associate Professor, Principal Scientist, Novo Nordisk A/S

Email confirmado em novonordisk.com

Machine Learning Deep Learning protein dynamics - protein interaction networks - cellular communication - automatisation


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
The FoldX web server: an online force field J Schymkowitz, J Borg, F Stricher, R Nys, F Rousseau, L Serrano Nucleic acids research 33 (suppl_2), W382-W388, 2005	1583	2005
Prediction of water and metal binding sites and their affinities by using the Fold-X force field JWH Schymkowitz, F Rousseau, IC Martins, J Ferkinghoff-Borg, F Stricher, ... Proceedings of the National Academy of Sciences 102 (29), 10147-10152, 2005	343	2005
SmartCell, a framework to simulate cellular processes that combines stochastic approximation with diffusion and localisation: analysis of simple networks M Ander, P Beltrao, B Di Ventura, J Ferkinghoff-Borg, M Foglierini, ... Systems biology 1 (1), 129-138, 2004	163	2004
A generative, probabilistic model of local protein structure W Boomsma, KV Mardia, CC Taylor, J Ferkinghoff-Borg, A Krogh, ... Proceedings of the National Academy of Sciences 105 (26), 8932-8937, 2008	162	2008
SNPeffect: a database mapping molecular phenotypic effects of human non-synonymous coding SNPs J Reumers, J Schymkowitz, J Ferkinghoff-Borg, F Stricher, L Serrano, ... Nucleic acids research 33 (suppl_1), D527-D532, 2005	162	2005
Kinome-wide decoding of network-attacking mutations rewiring cancer signaling P Creixell, EM Schoof, CD Simpson, J Longden, CJ Miller, HJ Lou, ... Cell 163 (1), 202-217, 2015	141	2015
Combining experiments and simulations using the maximum entropy principle W Boomsma, J Ferkinghoff-Borg, K Lindorff-Larsen PLoS Comput Biol 10 (2), e1003406, 2014	126	2014
Recognizing and defining true Ras binding domains II: in silico prediction based on homology modelling and energy calculations C Kiel, S Wohlgemuth, F Rousseau, J Schymkowitz, J Ferkinghoff-Borg, ... Journal of molecular biology 348 (3), 759-775, 2005	121	2005
A probabilistic model of RNA conformational space J Frellsen, I Moltke, M Thiim, KV Mardia, J Ferkinghoff-Borg, T Hamelryck PLoS Comput Biol 5 (6), e1000406, 2009	102	2009
Potentials of mean force for protein structure prediction vindicated, formalized and generalized T Hamelryck, M Borg, M Paluszewski, J Paulsen, J Frellsen, C Andreetta, ... PloS one 5 (11), e13714, 2010	79	2010
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models K Stovgaard, C Andreetta, J Ferkinghoff-Borg, T Hamelryck BMC bioinformatics 11 (1), 1-14, 2010	60	2010
Similarity measures for protein ensembles K Lindorff-Larsen, J Ferkinghoff-Borg PloS one 4 (1), e4203, 2009	51	2009
Experimental parameterization of an energy function for the simulation of unfolded proteins AB Norgaard, J Ferkinghoff-Borg, K Lindorff-Larsen Biophysical journal 94 (1), 182-192, 2008	49	2008
Quorum sensing regulation in Aeromonas hydrophila C Garde, T Bjarnsholt, M Givskov, TH Jakobsen, M Hentzer, A Claussen, ... Journal of molecular biology 396 (4), 849-857, 2010	48	2010
Genome-wide prediction of SH2 domain targets using structural information and the FoldX algorithm IE Sánchez, P Beltrao, F Stricher, J Schymkowitz, J Ferkinghoff-Borg, ... PLoS Comput Biol 4 (4), e1000052, 2008	47	2008
Optimized Monte Carlo analysis for generalized ensembles J Ferkinghoff-Borg The European Physical Journal B-Condensed Matter and Complex Systems 29 (3 …, 2002	47	2002
Stop-and-go kinetics in amyloid fibrillation J Ferkinghoff-Borg, J Fonslet, CB Andersen, S Krishna, S Pigolotti, H Yagi, ... Physical Review E 82 (1), 010901, 2010	44	2010
Bayesian methods in structural bioinformatics T Hamelryck, K Mardia, J Ferkinghoff-Borg Springer, 2012	40	2012
Probabilistic determination of native state ensembles of proteins S Olsson, BR Vögeli, A Cavalli, W Boomsma, J Ferkinghoff-Borg, ... Journal of Chemical Theory and Computation 10 (8), 3484-3491, 2014	39	2014
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure W Boomsma, J Frellsen, T Harder, S Bottaro, KE Johansson, P Tian, ... Journal of computational chemistry 34 (19), 1697-1705, 2013	36	2013

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