AMLProt: an automated machine learning library for protein applications.

ABSTRACT:

Motivation

Machine learning tools have become increasingly common in biological research, driven by the emergence of pre-trained large language models. However, training effective models remains a complex task, since many choices influence their performance. AutoML (automated machine learning) approaches help address these challenges by streamlining the entire model development pipeline.

Results

We developed aMLProt, an AutoML framework tailored specifically for protein applications, such as enzyme engineering and bioprospecting. It features a modular design, allowing each component to be used independently or in combination. Notably, aMLProt integrates 19 classifiers and 26 regressors, along with pre-trained protein language models. It also includes standalone applications

SUBMITTER: Xiang R 

PROVIDER: S-EPMC12534902 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature