| DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability CHM Rodrigues, DEV Pires, DB Ascher Nucleic acids research 46 (W1), W350-W355, 2018 | 183 | 2018 |
| mCSM-PPI2: predicting the effects of mutations on protein–protein interactions CHM Rodrigues, Y Myung, DEV Pires, DB Ascher Nucleic acids research 47 (W1), W338-W344, 2019 | 45 | 2019 |
| Combating mutations in genetic disease and drug resistance: understanding molecular mechanisms to guide drug design ATS Albanaz, CHM Rodrigues, DEV Pires, DB Ascher Expert opinion on drug discovery 12 (6), 553-563, 2017 | 18 | 2017 |
| Empirical ways to identify novel Bedaquiline resistance mutations in AtpE M Karmakar, CHM Rodrigues, KE Holt, SJ Dunstan, J Denholm, ... PloS one 14 (5), e0217169, 2019 | 15 | 2019 |
| Kinact: a computational approach for predicting activating missense mutations in protein kinases CHM Rodrigues, DB Ascher, DEV Pires Nucleic acids research 46 (W1), W127-W132, 2018 | 12 | 2018 |
| Structure guided prediction of Pyrazinamide resistance mutations in pncA M Karmakar, CHM Rodrigues, K Horan, JT Denholm, DB Ascher Scientific reports 10 (1), 1-10, 2020 | 8 | 2020 |
| Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in Mycobacterium leprae SC Vedithi, CHM Rodrigues, S Portelli, MJ Skwark, M Das, DB Ascher, ... Computational and structural biotechnology journal 18, 271-286, 2020 | 8 | 2020 |
| mCSM-AB2: guiding rational antibody design using graph-based signatures Y Myung, CHM Rodrigues, DB Ascher, DEV Pires Bioinformatics 36 (5), 1453-1459, 2020 | 7 | 2020 |
| Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource S Portelli, M Olshansky, CHM Rodrigues, EN D’Souza, Y Myung, M Silk, ... Nature Genetics 52 (10), 999-1001, 2020 | 5 | 2020 |
| mCSM-membrane: predicting the effects of mutations on transmembrane proteins DEV Pires, CHM Rodrigues, DB Ascher Nucleic Acids Research, 2020 | 5 | 2020 |
| COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development S Portelli, M Olshansky, CHM Rodrigues, EN D'Souza, YC Myung, M Silk, ... bioRxiv, 2020 | 2 | 2020 |
| EasyVS: a user friendly web based tool for molecule library selection and structure-based virtual screening DEV Pires, WNP Veloso, YC Myung, CHM Rodrigues, M Silk, ... Bioinformatics, 2020 | 1 | 2020 |
| Exploring Protein Supersecondary Structure Through Changes in Protein Folding, Stability, and Flexibility DEV Pires, CHM Rodrigues, ATS Albanaz, M Karmakar, Y Myung, ... Protein Supersecondary Structures, 173-185, 2019 | 1 | 2019 |
| DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations CHM Rodrigues, DEV Pires, DB Ascher Protein Science, 2020 | | 2020 |
| MACHINE LEARNING APPLIED TO ENERGY WAVEFORM ECG FOR PREDICTION OF STAGE B HEART FAILURE IN THE COMMUNITY EL Potter, C Rodrigues, D Ascher, TH Marwick Journal of the American College of Cardiology 75 (11S1), 1894-1894, 2020 | | 2020 |
| A Comprehensive Computational Platform to Guide Drug Development Using Graph-Based Signature Methods DEV Pires, S Portelli, PM Rezende, WNP Veloso, JS Xavier, M Karmakar, ... Structural Bioinformatics, 91-106, 2020 | | 2020 |
| Computational Saturation Mutagenesis to predict structural consequences of systematic mutations on protein stability and rifampin interactions in the β subunit of RNA … SC Vedithi, CHM Rodrigues, S Portelli, MJ Skwark, M Das, DB Ascher, ... BioRxiv, 654095, 2019 | | 2019 |
| Identifying Genotype–Phenotype Correlations via Integrative Mutation Analysis E Airey, S Portelli, JS Xavier, YC Myung, M Silk, M Karmakar, JPL Velloso, ... Artificial Neural Networks, 1-32, 0 | | |
David AscherBaker Institute; University of Melbourne; University of CambridgeVerified email at unimelb.edu.au
