| Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis F Coll, J Phelan, GA Hill-Cawthorne, MB Nair, K Mallard, S Ali, ... Nature genetics 50 (2), 307-316, 2018 | 331 | 2018 |
| Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis S Portelli, JE Phelan, DB Ascher, TG Clark, N Furnham Scientific reports 8 (1), 15356, 2018 | 73 | 2018 |
| ThermoMutDB: a thermodynamic database for missense mutations JS Xavier, TB Nguyen, M Karmarkar, S Portelli, PM Rezende, JPL Velloso, ... Nucleic acids research 49 (D1), D475-D479, 2021 | 63 | 2021 |
| 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 | 60 | 2020 |
| Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches S Portelli, Y Myung, N Furnham, SC Vedithi, DEV Pires, DB Ascher Scientific reports 10 (1), 18120, 2020 | 40 | 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 | 27 | 2020 |
| Distinguishing between PTEN clinical phenotypes through mutation analysis S Portelli, L Barr, AGC de Sá, DEV Pires, DB Ascher Computational and Structural Biotechnology Journal 19, 3097-3109, 2021 | 21 | 2021 |
| Combining structure and genomics to understand antimicrobial resistance T Tunstall, S Portelli, J Phelan, TG Clark, DB Ascher, N Furnham Computational and Structural Biotechnology Journal 18, 3377-3394, 2020 | 20 | 2020 |
| Structure-guided machine learning prediction of drug resistance mutations in Abelson 1 kinase Y Zhou, S Portelli, M Pat, CHM Rodrigues, TB Nguyen, DEV Pires, ... Computational and Structural Biotechnology Journal 19, 5381-5391, 2021 | 13 | 2021 |
| toxCSM: comprehensive prediction of small molecule toxicity profiles AGC de Sá, Y Long, S Portelli, DEV Pires, DB Ascher Briefings in Bioinformatics 23 (5), bbac337, 2022 | 12 | 2022 |
| Definition of the immune evasion-replication interface of rabies virus P protein J Zhan, AR Harrison, S Portelli, TB Nguyen, I Kojima, S Zheng, F Yan, ... PLoS Pathogens 17 (7), e1009729, 2021 | 10 | 2021 |
| Identifying the molecular drivers of ALS-implicated missense mutations S Portelli, A Albanaz, DEV Pires, DB Ascher Journal of Medical Genetics 60 (5), 484-490, 2023 | 7 | 2023 |
| 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, Y Myung, M Silk, ... bioRxiv, 2020.05. 29.124610, 2020 | 7 | 2020 |
| Author Correction: Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis F Coll, J Phelan, GA Hill-Cawthorne, MB Nair, K Mallard, S Ali, ... Nature genetics 50 (5), 764-764, 2018 | 7 | 2018 |
| 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, 2021 | 5 | 2021 |
| 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: Methods and Protocols, 91-106, 2020 | 5 | 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: Methods and Protocols, 173-185, 2019 | 5 | 2019 |
| AI-Driven Enhancements in Drug Screening and Optimization A Serghini, S Portelli, DB Ascher Computational Drug Discovery and Design, 269-294, 2023 | 3 | 2023 |
| Author correction: 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 53 (2), 254-254, 2021 | 3 | 2021 |
| Exploring the effects of missense mutations on protein thermodynamics through structure-based approaches: Findings from the CAGI6 challenges CHM Rodrigues, S Portelli, DB Ascher Human Genetics, 1-9, 2024 | 2 | 2024 |
David AscherUniversity of Queensland; Baker InstitutePotvrđena adresa e-pošte na uq.edu.au
