SAGE-prot: scoring-assisted generative exploration for multi-objective protein design.

ABSTRACT: Designing proteins with multiple optimized properties remains a fundamental challenge in biotechnology, especially when design objectives exhibit trade-offs or when structural templates are unavailable. We present scoring-assisted generative exploration for proteins (SAGE-Prot), a modular and extensible protein design framework that integrates autoregressive sequence generation, genetic algorithm(GA)-based diversification, and scoring-guided property evaluation in a closed-loop optimization process. Unlike conventional approaches, SAGE-Prot performs optimization directly at the sequence level without relying on structural templates for generation, while enabling structure-aware evaluation. Across rediscovery and similarity benchmarks involving 10 therapeutic proteins, hybrid language model

SUBMITTER: Lim H 

PROVIDER: S-EPMC12597032 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature