This repository includes all supplemental material for the publication entitled "Heterologous machine learning for the identification of antimicrobial activity in human-targeted drugs", by Rodrigo A. Nava Lara and collaborators, submitted to Molecules. This material include the following files:
File Name | Description |
---|---|
File S1 | Script to execute the best model to predict antimicrobials on FDA-approved drugs |
Table S1 | Training sets in ARF format for TrOnlyPeptides |
Table S2 | Training sets in ARFF format for TrNPCC1 |
Table S3 | Training sets in ARFF format for TrNPCC2 |
Table S4 | Training sets in ARFF format for TrNPCC3 |
Table S5 | Training sets in ARFF format for TrNPCC4 |
Table S6 | Training sets in ARFF format for TrHeterologous1 |
Table S7 | Training sets in ARFF format for TrHeterologous2 |
Table S8 | Training sets in ARFF format for TrHeterologous3 |
Table S9 | Training sets in ARFF format for TrHeterologous4 |
Table S10 | Testing sets in ARF format for TeOnlyPeptides |
Table S11 | Testing sets in ARF format for TeNPCC1 |
Table S12 | Testing sets in ARF format for TeNPCC2 |
Table S13 | Testing sets in ARF format for TeNPCC3 |
Table S14 | Testing sets in ARF format for TeNPCC4 |
Table S15 | Testing sets in ARF format for TeHetrelogous1 |
Table S16 | Testing sets in ARF format for TeHetrelogous2 |
Table S17 | Testing sets in ARF format for TeHetrelogous3 |
Table S18 | Testing sets in ARF format for TeHetrelogous4 |
Table S19 | Parameter values for all models tested |
Table S20 | CScore values for all model tested |
Table S21 | Discovery set |