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2020

Journal Article

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches

Portelli, Stephanie, Myung, Yoochan, Furnham, Nicholas, Vedithi, Sundeep Chaitanya, Pires, Douglas E. V. and Ascher, David B. (2020). Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches. Scientific Reports, 10 (1) 18120, 1-13. doi: 10.1038/s41598-020-74648-y

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches

2020

Journal Article

Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

Portelli, Stephanie, Olshansky, Moshe, Rodrigues, Carlos H. M., D’Souza, Elston N., Myung, Yoochan, Silk, Michael, Alavi, Azadeh, Pires, Douglas E. V. and Ascher, David B. (2020). Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource. Nature Genetics, 52 (10), 999-1001. doi: 10.1038/s41588-020-0693-3

Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

2020

Journal Article

Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in

Vedithi, Sundeep Chaitanya, Rodrigues, Carlos H. M., Portelli, Stephanie, Skwark, Marcin J., Das, Madhusmita, Ascher, David B., Blundell, Tom L. and Malhotra, Sony (2020). Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in . Computational and Structural Biotechnology Journal, 18, 271-286. doi: 10.1016/j.csbj.2020.01.002

Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in

2020

Journal Article

Combining structure and genomics to understand antimicrobial resistance

Tunstall, Tanushree, Portelli, Stephanie, Phelan, Jody, Clark, Taane G., Ascher, David B. and Furnham, Nicholas (2020). Combining structure and genomics to understand antimicrobial resistance. Computational and Structural Biotechnology Journal, 18, 3377-3394. doi: 10.1016/j.csbj.2020.10.017

Combining structure and genomics to understand antimicrobial resistance

2020

Book Chapter

A comprehensive computational platform to guide drug development using graph-based signature methods

Pires, Douglas E. V., Portelli, Stephanie, Rezende, Pâmela M., Veloso, Wandré N. P., Xavier, Joicymara S., Karmakar, Malancha, Myung, Yoochan, Linhares, João P. V., Rodrigues, Carlos H. M., Silk, Michael and Ascher, David B. (2020). A comprehensive computational platform to guide drug development using graph-based signature methods. Structural bioinformatics: methods and protocols. (pp. 91-106) New York, NY, United States: Humana. doi: 10.1007/978-1-0716-0270-6_7

A comprehensive computational platform to guide drug development using graph-based signature methods

2019

Book Chapter

Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility

Pires, Douglas E. V., Rodrigues, Carlos H. M., Albanaz, Amanda T. S., Karmakar, Malancha, Myung, Yoochan, Xavier, Joicymara, Michanetzi, Eleni-Maria, Portelli, Stephanie and Ascher, David B. (2019). Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility. Protein Supersecondary Structures: Methods and Protocols. (pp. 173-185) edited by Alexander E. Kister. New York, NY, United States: Springer. doi: 10.1007/978-1-4939-9161-7_9

Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility

2018

Journal Article

Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis

Portelli, Stephanie, Phelan, Jody E., Ascher, David B., Clark, Taane G. and Furnham, Nicholas (2018). Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis. Scientific Reports, 8 (1) 15356. doi: 10.1038/s41598-018-33370-6

Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis

2018

Journal Article

Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis

Coll, Francesc, Phelan, Jody, Hill-Cawthorne, Grant A., Nair, Mridul B., Mallard, Kim, Ali, Shahjahan, Abdallah, Abdallah M., Alghamdi, Saad, Alsomali, Mona, Ahmed, Abdallah O., Portelli, Stephanie, Oppong, Yaa, Alves, Adriana, Bessa, Theolis Barbosa, Campino, Susana, Caws, Maxine, Chatterjee, Anirvan, Crampin, Amelia C., Dheda, Keertan, Furnham, Nicholas, Glynn, Judith R., Grandjean, Louis, Minh Ha, Dang, Hasan, Rumina, Hasan, Zahra, Hibberd, Martin L., Joloba, Moses, Jones-López, Edward C., Matsumoto, Tomoshige ... Clark, Taane G. (2018). Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis. Nature Genetics, 50 (2), 307-316. doi: 10.1038/s41588-017-0029-0

Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis