Peptide Resources
Filters
Type of Resource
Top Features
Machine learning
Deep learning
Anticancer peptides
Antimicrobial peptides
Anti-inflammatory peptides
Antiviral peptides
Ensemble learning
Feature selection
Random forest
Cell-penetrating peptides
AntAngioCOOL
ToolAntAngioCOOL is an R-based machine learning package for predicting anti-angiogenic peptides (AAPs), enabling efficient identification via robust feature engineering and model selection. Built on a non-redundant dataset of 135 AAPs (positives) and 135 non-AAPs (negatives), the tool extracts over 17,000 features and selects 2000+ informative ones to train three models (high sensitivity, specificity, accuracy).
AntiAngioPred
WebserverAntiAngioPred is a webserver for predicting anti-angiogenic peptides, developed based on literature-collected peptides with systematic analysis of residue preferences and positional features: Cysteine (Cys), Proline (Pro) etc., are enriched, with N-terminal bias for Ser/Pro/Trp/Cys and C-terminal enrichment of Cys/Gly/Arg. Prominent motifs like "CG-G", "TC" are identified.
AntiCP 2.0
WebserverAntiCP 2.0 is a computational model for predicting and designing anticancer peptides (ACPs), analyzing residue composition (preferring A, F, K, L, W) and positional preferences (N-terminal favoring A, F, K; C-terminal favoring L, K), combined with motifs like LAKLA and AKLAK.
AntiDMPpred
WebserverAntiDMPpred is a Random Forest-based webserver for predicting antidiabetic peptides (ADPs), specifically designed for oral peptide drug development. The model constructs feature spaces by integrating four sequence descriptors (amino acid composition, physicochemical properties, dipeptide composition, autocorrelation functions), and employs a cross-evaluation strategy of feature scoring and machine learning algorithms to select non-redundant features.
AntiFlamPred
ToolAntiFlamPred is a high-precision predictor for anti-inflammatory peptides (AIPs), constructed by integrating sequence encoding features and deep learning algorithms, optimized via techniques like bootstrap aggregation.