| Pfam: the protein families database RD Finn, A Bateman, J Clements, P Coggill, RY Eberhardt, SR Eddy, ... Nucleic acids research 42 (D1), D222-D230, 2013 | 6599 | 2013 |
| The Pfam protein families database: towards a more sustainable future RD Finn, P Coggill, RY Eberhardt, SR Eddy, J Mistry, AL Mitchell, ... Nucleic acids research 44 (D1), D279-D285, 2016 | 5475 | 2016 |
| The Pfam protein families database M Punta, PC Coggill, RY Eberhardt, J Mistry, J Tate, C Boursnell, N Pang, ... Nucleic acids research 40 (D1), D290-D301, 2011 | 4329 | 2011 |
| The InterPro protein families database: the classification resource after 15 years A Mitchell, HY Chang, L Daugherty, M Fraser, S Hunter, R Lopez, ... Nucleic acids research 43 (D1), D213-D221, 2015 | 1417 | 2015 |
| Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions J Mistry, RD Finn, SR Eddy, A Bateman, M Punta Nucleic acids research 41 (12), e121-e121, 2013 | 1399 | 2013 |
| InterPro in 2011: new developments in the family and domain prediction database S Hunter, P Jones, A Mitchell, R Apweiler, TK Attwood, A Bateman, ... Nucleic acids research 40 (D1), D306-D312, 2012 | 1269 | 2012 |
| PredictProtein—an open resource for online prediction of protein structural and functional features G Yachdav, E Kloppmann, L Kajan, M Hecht, T Goldberg, T Hamp, ... Nucleic acids research 42 (W1), W337-W343, 2014 | 699 | 2014 |
| Genomic and transcriptomic determinants of therapy resistance and immune landscape evolution during anti-EGFR treatment in colorectal cancer A Woolston, K Khan, G Spain, LJ Barber, B Griffiths, R Gonzalez-Exposito, ... Cancer cell 36 (1), 35-50. e9, 2019 | 227 | 2019 |
| Improved disorder prediction by combination of orthogonal approaches A Schlessinger, M Punta, G Yachdav, L Kajan, B Rost PloS one 4 (2), e4433, 2009 | 220 | 2009 |
| PROFcon: novel prediction of long-range contacts M Punta, B Rost Bioinformatics 21 (13), 2960-2968, 2005 | 194 | 2005 |
| Protein disorder—a breakthrough invention of evolution? A Schlessinger, C Schaefer, E Vicedo, M Schmidberger, M Punta, B Rost Current opinion in structural biology 21 (3), 412-418, 2011 | 171 | 2011 |
| Crystal structure of a potassium ion transporter, TrkH Y Cao, X Jin, H Huang, MG Derebe, EJ Levin, V Kabaleeswaran, Y Pan, ... Nature 471 (7338), 336-340, 2011 | 161 | 2011 |
| Homologue structure of the SLAC1 anion channel for closing stomata in leaves Y Chen, L Hu, M Punta, R Bruni, B Hillerich, B Kloss, B Rost, J Love, ... Nature 467 (7319), 1074-1080, 2010 | 155 | 2010 |
| Membrane protein prediction methods M Punta, LR Forrest, H Bigelow, A Kernytsky, J Liu, B Rost Methods 41 (4), 460-474, 2007 | 153 | 2007 |
| The rough guide to in silico function prediction, or how to use sequence and structure information to predict protein function M Punta, Y Ofran PLoS computational biology 4 (10), e1000160, 2008 | 143 | 2008 |
| Natively unstructured regions in proteins identified from contact predictions A Schlessinger, M Punta, B Rost Bioinformatics 23 (18), 2376-2384, 2007 | 137 | 2007 |
| Clinical BRCA1/2 Reversion Analysis Identifies Hotspot Mutations and Predicted Neoantigens Associated with Therapy Resistance SJ Pettitt, JR Frankum, M Punta, S Lise, J Alexander, Y Chen, TA Yap, ... Cancer discovery 10 (10), 1475-1488, 2020 | 133 | 2020 |
| Identifying cysteines and histidines in transition‐metal‐binding sites using support vector machines and neural networks A Passerini, M Punta, A Ceroni, B Rost, P Frasconi Proteins: Structure, Function, and Bioinformatics 65 (2), 305-316, 2006 | 116 | 2006 |
| CASP6 assessment of contact prediction O Grana, D Baker, RM MacCallum, J Meiler, M Punta, B Rost, ML Tress, ... Proteins: Structure, Function, and Bioinformatics 61 (S7), 214-224, 2005 | 111 | 2005 |
| Protein folding rates estimated from contact predictions M Punta, B Rost Journal of molecular biology 348 (3), 507-512, 2005 | 104 | 2005 |
