Source data for A generative artificial intelligence approach for antibiotic optimization

Source data for paper "A generative artificial intelligence approach for antibiotic optimization"

Folder Heatmaps_of_APEX_predictions_for_intermediate_optimized_variants_all contains the predicted MICs for the template, the endpoint (the final optimized peptide), and the intermediate peptides between the template and the endpoint.

avg_improvement_rate.csv: Bacterial strain-wise average mean MIC improvement rate for each template optimization.

avg_MIC_fold_change.csv: Bacterial strain-wise average MIC log-fold change for each template optimization.

《一种用于抗生素优化的生成式人工智能方法》论文的数据来源。文件夹 'Heatmaps_of_APEX_predictions_for_intermediate_optimized_variants_all' 包含了针对模板、终点（最终优化的肽段）以及模板与终点之间中间肽段的预测最小抑菌浓度（MIC）。文件 'avg_improvement_rate.csv' 记录了针对每个模板优化，按细菌菌株划分的平均最小抑菌浓度均值提升率。文件 'avg_MIC_fold_change.csv' 记录了针对每个模板优化，按细菌菌株划分的平均最小抑菌浓度对数倍数变化。