Machine learning and statistics shape a novel path in archaeal promoter annotation. - Gustavo Sganzerla Martinez; Ernesto Pérez-Rueda; Sharmilee Sarkar; Aditya Kumar; Scheila de Avila e Silva (BMC Bioinform., 2022)

Multiple Protein Profiler 1.0 (MPP): A webserver for predicting and visualizing physiochemical properties of proteins at the proteome level. - Gustavo Sganzerla Martinez; Mansi Dutt; Anuj Kumar; David J. Kelvin (CoRR, 2023)

Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability. - André Borges Farias; Gustavo Sganzerla Martinez; Edgardo Galán-Vásquez; Marisa Fabiana Nicolás; Ernesto Pérez-Rueda (Briefings Bioinform., 2024)

MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. - Subhojit Paul; Kaushika Olymon; Gustavo Sganzerla Martinez; Sharmilee Sarkar; Venkata Rajesh Yella; Aditya Kumar (J. Chem. Inf. Model., 2024)