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2024

Book Chapter

AI-driven enhancements in drug screening and optimization

Serghini, Adam, Portelli, Stephanie and Ascher, David B. (2024). AI-driven enhancements in drug screening and optimization. Computational drug discovery and design. (pp. 269-294) edited by Mohini Gore and Umesh B. Jagtap. New York, NY, United States: Humana. doi: 10.1007/978-1-0716-3441-7_15

AI-driven enhancements in drug screening and optimization

2022

Book Chapter

Using graph-based signatures to guide rational antibody engineering

Ascher, David B., Kaminskas, Lisa M., Myung, Yoochan and Pires, Douglas E. V. (2022). Using graph-based signatures to guide rational antibody engineering. Computer-aided antibody design. (pp. 375-397) New York, NY, United States: Humana Press. doi: 10.1007/978-1-0716-2609-2_21

Using graph-based signatures to guide rational antibody engineering

2021

Book Chapter

Identifying genotype-phenotype correlations via integrative mutation analysis

Airey, Edward, Portelli, Stephanie, Xavier, Joicymara S, Myung, Yoo Chan, Silk, Michael, Karmakar, Malancha, Velloso, João P L, Rodrigues, Carlos H M, Parate, Hardik H, Garg, Anjali, Al-Jarf, Raghad, Barr, Lucy, Geraldo, Juliana A, Rezende, Pâmela M, Pires, Douglas E V and Ascher, David B (2021). Identifying genotype-phenotype correlations via integrative mutation analysis. Artificial neural networks. (pp. 1-32) edited by Hugh Cartwright. New York, NY, United States: Humana. doi: 10.1007/978-1-0716-0826-5_1

Identifying genotype-phenotype correlations via integrative mutation analysis

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

Book Chapter

Prediction and optimization of pharmacokinetic and toxicity properties of the ligand

Pires, Douglas E. V., Kaminskas, Lisa M. and Ascher, David B. (2018). Prediction and optimization of pharmacokinetic and toxicity properties of the ligand. Computational Drug Discovery and Design. (pp. 271-284) New York, NY United States: Humana Press. doi: 10.1007/978-1-4939-7756-7_14

Prediction and optimization of pharmacokinetic and toxicity properties of the ligand

2015

Book Chapter

Protein-protein interactions: structures and druggability

Ascher, David B., Jubb, Harry C., Pires, Douglas E. V., Ochi, Takashi, Higueruelo, Alicia and Blundell, Tom L. (2015). Protein-protein interactions: structures and druggability. Multifaceted roles of crystallography in modern drug discovery. (pp. 141-163) Dordrecht, Netherlands: Springer Netherlands. doi: 10.1007/978-94-017-9719-1_12

Protein-protein interactions: structures and druggability