Protein 3D structure computed from evolutionary sequence variation DS Marks, LJ Colwell, R Sheridan, TA Hopf, A Pagnani, R Zecchina, ... PloS one 6 (12), e28766, 2011 | 1233 | 2011 |
A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1048 | 2013 |
Protein structure prediction from sequence variation DS Marks, TA Hopf, C Sander Nature biotechnology 30 (11), 1072-1080, 2012 | 704 | 2012 |
Mutation effects predicted from sequence co-variation TA Hopf, JB Ingraham, FJ Poelwijk, CPI Schärfe, M Springer, C Sander, ... Nature biotechnology 35 (2), 128-135, 2017 | 610 | 2017 |
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues D Wang, B Eraslan, T Wieland, B Hallström, T Hopf, DP Zolg, J Zecha, ... Molecular systems biology 15 (2), e8503, 2019 | 609 | 2019 |
Three-dimensional structures of membrane proteins from genomic sequencing TA Hopf, LJ Colwell, R Sheridan, B Rost, C Sander, DS Marks Cell 149 (7), 1607-1621, 2012 | 592 | 2012 |
Sequence co-evolution gives 3D contacts and structures of protein complexes TA Hopf, CPI Schärfe, JP Rodrigues, AG Green, O Kohlbacher, C Sander, ... elife 3, e03430, 2014 | 530 | 2014 |
A systematic p53 mutation library links differential functional impact to cancer mutation pattern and evolutionary conservation E Kotler, O Shani, G Goldfeld, M Lotan-Pompan, O Tarcic, A Gershoni, ... Molecular cell 71 (1), 178-190. e8, 2018 | 253 | 2018 |
The EVcouplings Python framework for coevolutionary sequence analysis TA Hopf, AG Green, B Schubert, S Mersmann, CPI Schärfe, JB Ingraham, ... Bioinformatics 35 (9), 1582-1584, 2019 | 215 | 2019 |
FreeContact: fast and free software for protein contact prediction from residue co-evolution L Kaján, TA Hopf, M Kalaš, DS Marks, B Rost BMC bioinformatics 15, 1-6, 2014 | 191 | 2014 |
Meltome atlas—thermal proteome stability across the tree of life A Jarzab, N Kurzawa, T Hopf, M Moerch, J Zecha, N Leijten, Y Bian, ... Nature methods 17 (5), 495-503, 2020 | 184 | 2020 |
Structured states of disordered proteins from genomic sequences A Toth-Petroczy, P Palmedo, J Ingraham, TA Hopf, B Berger, C Sander, ... Cell 167 (1), 158-170. e12, 2016 | 151 | 2016 |
Amino acid coevolution reveals three-dimensional structure and functional domains of insect odorant receptors TA Hopf, S Morinaga, S Ihara, K Touhara, DS Marks, R Benton Nature communications 6 (1), 6077, 2015 | 139 | 2015 |
Structure of the peptidoglycan polymerase RodA resolved by evolutionary coupling analysis M Sjodt, K Brock, G Dobihal, PDA Rohs, AG Green, TA Hopf, AJ Meeske, ... Nature 556 (7699), 118-121, 2018 | 129 | 2018 |
Protein structure determination by combining sparse NMR data with evolutionary couplings Y Tang, YJ Huang, TA Hopf, C Sander, DS Marks, GT Montelione Nature methods 12 (8), 751-754, 2015 | 87 | 2015 |
Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues B Eraslan, D Wang, M Gusic, H Prokisch, BM Hallström, M Uhlén, ... Molecular systems biology 15 (2), e8513, 2019 | 73 | 2019 |
Homology-based inference sets the bar high for protein function prediction T Hamp, R Kassner, S Seemayer, E Vicedo, C Schaefer, D Achten, F Auer, ... BMC bioinformatics 14, 1-10, 2013 | 59 | 2013 |
Quantification of the effect of mutations using a global probability model of natural sequence variation TA Hopf, JB Ingraham, FJ Poelwijk, M Springer, C Sander, DS Marks arXiv preprint arXiv:1510.04612, 2015 | 38 | 2015 |
Evfold. org: Evolutionary couplings and protein 3d structure prediction R Sheridan, RJ Fieldhouse, S Hayat, Y Sun, Y Antipin, L Yang, T Hopf, ... biorxiv, 021022, 2015 | 34 | 2015 |
PDBe-KB: collaboratively defining the biological context of structural data Nucleic acids research 50 (D1), D534-D542, 2022 | 32 | 2022 |