Robson Parmezan Bonidia

ANIMA predicts protein-protein interactions across species using an AI model trained on diverse animal species, achieving high accuracy in under-researched species.

BioAutoML-FAST provides an automated ML platform for biological sequence analysis, offering reusable models and benchmarking across genomic, transcriptomic, and proteomic tasks.

BioPrediction-PPI is an end-to-end machine learning framework for predicting protein-protein interactions without deep learning, offering interpretability and competitive performance across multiple datasets.

This paper compares mathematical models for feature extraction from biological sequences, showing their effectiveness in classifying Long Non-Coding RNA and other sequence types.

MathFeature provides a package for extracting mathematical descriptors from biological sequences to improve machine learning performance in bioinformatics.