ACL2025

VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning

Yang Tan, Chen Liu, Jingyuan Gao, Banghao Wu, Mingchen Li, Ruilin Wang, Lingrong Zhang, Huiqun Yu, Guisheng Fan, Liang Hong, Bingxin Zhou

Abstract

Natural language processing (NLP) has significantly influenced scientific domains beyond human language, including protein engineering, where pre-trained protein language models (PLMs) have demonstrated remarkable success. However, interdisciplinary adoption remains limited due to challenges in data collection, task benchmarking, and application. This work presents VENUSFACTORY, a versatile engine that integrates biological data retrieval, standardized task benchmarking, and modular finetuning of PLMs. VENUSFACTORY supports both computer science and biology communities with choices of both a command-line execution and a Gradio-based no-code interface, integrating 40+ protein-related datasets and 40+ popular PLMs. All implementations are open-sourced on https://github.com/a i4protein/VenusFactory .