Stephanie Portelli

According to our database, Stephanie Portelli authored at least 5 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

kinCSM-RTK: Machine Learning-Based Screening of Receptor Tyrosine Kinase Inhibitors in Drug Discovery.

Adam Serghini, Yunzhuo Zhou, Yoochan Myung, Alex G. C. de Sá, Stephanie Portelli, David B. Ascher

J. Chem. Inf. Model., 2026

2024

Characterization on the oncogenic effect of the missense mutations of p53 via machine learning.

Qisheng Pan, Stephanie Portelli, Thanh-Binh Nguyen, David B. Ascher

Briefings Bioinform., January, 2024

2022

toxCSM: comprehensive prediction of small molecule toxicity profiles.

Alex G. C. de Sá, Yangyang Long, Stephanie Portelli, Douglas E. V. Pires, David B. Ascher

Briefings Bioinform., 2022

2021

ThermoMutDB: a thermodynamic database for missense mutations.

Joicymara S. Xavier, Thanh-Binh Nguyen, Malancha Karmarkar, Stephanie Portelli, Pâmela M. Rezende, João P. L. Velloso, David B. Ascher, Douglas E. V. Pires

Nucleic Acids Res., 2021

Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis.

Edward Airey, Stephanie Portelli, Joicymara S. Xavier, Yoochan Myung, Michael Silk, Malancha Karmakar, João P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, Pâmela M. Rezende, Douglas E. V. Pires, David B. Ascher

Proceedings of the Artificial Neural Networks - Third Edition., 2021