Straipsniai su viešo pasiekiamumo įpareigojimais - Martin WeigtSužinokite daugiau
Niekur nepasiekiama: 1
Predicting interacting protein pairs by coevolutionary paralog matching
T Gueudré, C Baldassi, A Pagnani, M Weigt
Protein-Protein Interaction Networks: Methods and Protocols, 57-65, 2020
Įpareigojimai: European Commission
Kur nors pasiekiama: 47
Direct-coupling analysis of residue coevolution captures native contacts across many protein families
F Morcos, A Pagnani, B Lunt, A Bertolino, DS Marks, C Sander, ...
Proceedings of the National Academy of Sciences 108 (49), E1293-E1301, 2011
Įpareigojimai: US National Institutes of Health
Identification of direct residue contacts in protein–protein interaction by message passing
M Weigt, RA White, H Szurmant, JA Hoch, T Hwa
Proceedings of the National Academy of Sciences 106 (1), 67-72, 2009
Įpareigojimai: US National Institutes of Health
An evolution-based model for designing chorismate mutase enzymes
WP Russ, M Figliuzzi, C Stocker, P Barrat-Charlaix, M Socolich, P Kast, ...
Science 369 (6502), 440-445, 2020
Įpareigojimai: Swiss National Science Foundation, US National Institutes of Health …
Coevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1
M Figliuzzi, H Jacquier, A Schug, O Tenaillon, M Weigt
Molecular biology and evolution 33 (1), 268-280, 2016
Įpareigojimai: National Institute of Health and Medical Research, France, European Commission
High-resolution protein complexes from integrating genomic information with molecular simulation
A Schug, M Weigt, JN Onuchic, T Hwa, H Szurmant
Proceedings of the National Academy of Sciences 106 (52), 22124-22129, 2009
Įpareigojimai: US National Institutes of Health
Structural basis of histidine kinase autophosphorylation deduced by integrating genomics, molecular dynamics, and mutagenesis
AE Dago, A Schug, A Procaccini, JA Hoch, M Weigt, H Szurmant
Proceedings of the National Academy of Sciences 109 (26), E1733-E1742, 2012
Įpareigojimai: US National Institutes of Health
Notch ligand delta-like 4 blockade attenuates atherosclerosis and metabolic disorders
D Fukuda, E Aikawa, FK Swirski, TI Novobrantseva, V Kotelianski, ...
Proceedings of the national Academy of Sciences 109 (27), E1868-E1877, 2012
Įpareigojimai: US National Institutes of Health
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners
C Baldassi, M Zamparo, C Feinauer, A Procaccini, R Zecchina, M Weigt, ...
PloS one 9 (3), e92721, 2014
Įpareigojimai: European Commission
Perturbation biology: inferring signaling networks in cellular systems
EJ Molinelli, A Korkut, W Wang, ML Miller, NP Gauthier, X Jing, P Kaushik, ...
PLoS computational biology 9 (12), e1003290, 2013
Įpareigojimai: US National Institutes of Health, European Commission
From principal component to direct coupling analysis of coevolution in proteins: low-eigenvalue modes are needed for structure prediction
S Cocco, R Monasson, M Weigt
PLoS computational biology 9 (8), e1003176, 2013
Įpareigojimai: Wellcome Trust
Direct-coupling analysis of nucleotide coevolution facilitates RNA secondary and tertiary structure prediction
E De Leonardis, B Lutz, S Ratz, S Cocco, R Monasson, A Schug, M Weigt
Nucleic acids research 43 (21), 10444-10455, 2015
Įpareigojimai: German Research Foundation
Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis
T Gueudré, C Baldassi, M Zamparo, M Weigt, A Pagnani
Proceedings of the National Academy of Sciences 113 (43), 12186-12191, 2016
Įpareigojimai: European Commission
Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis
G Uguzzoni, S John Lovis, F Oteri, A Schug, H Szurmant, M Weigt
Proceedings of the National Academy of Sciences 114 (13), E2662-E2671, 2017
Įpareigojimai: US National Institutes of Health, Helmholtz Association
Structures of a dimodular nonribosomal peptide synthetase reveal conformational flexibility
JM Reimer, M Eivaskhani, I Harb, A Guarné, M Weigt, TM Schmeing
Science 366 (6466), eaaw4388, 2019
Įpareigojimai: Canadian Institutes of Health Research, Natural Sciences and Engineering …
How pairwise coevolutionary models capture the collective residue variability in proteins?
M Figliuzzi, P Barrat-Charlaix, M Weigt
Molecular biology and evolution 35 (4), 1018-1027, 2018
Įpareigojimai: European Commission
Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria
A Couce, LV Caudwell, C Feinauer, T Hindré, JP Feugeas, M Weigt, ...
Proceedings of the National Academy of Sciences 114 (43), E9026-E9035, 2017
Įpareigojimai: US National Science Foundation, National Institute of Health and Medical …
Dissecting the specificity of protein-protein interaction in bacterial two-component signaling: orphans and crosstalks
A Procaccini, B Lunt, H Szurmant, T Hwa, M Weigt
PloS one 6 (5), e19729, 2011
Įpareigojimai: US National Institutes of Health
Efficient generative modeling of protein sequences using simple autoregressive models
J Trinquier, G Uguzzoni, A Pagnani, F Zamponi, M Weigt
Nature communications 12 (1), 5800, 2021
Įpareigojimai: European Commission
Inter-residue, inter-protein and inter-family coevolution: bridging the scales
H Szurmant, M Weigt
Current opinion in structural biology 50, 26-32, 2018
Įpareigojimai: US National Institutes of Health, European Commission
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