Our Bioinformatics & Multi-Omics Pipeline
End-to-end workflows integrating genomic, proteomic, and clinical data for translational discovery
Multi-Omics Data Integration
Unify genomics, transcriptomics, proteomics, and metabolomics datasets into cohesive analytical frameworks. Harmonize heterogeneous data sources from public repositories (DisGeNET, Open Targets, STRINGdb, BioGRID) and proprietary clinical datasets for comprehensive biological insight.
Network-Based Target Prioritization
Construct protein-protein interaction (PPI) subnetworks from disease-associated and drug-target gene sets. Apply centrality metrics and Reciprocal Rank Fusion (RRF) to identify hub genes that drive disease mechanisms and represent high-value therapeutic targets.
Drug-Disease Relationship Mapping
Explore drug-disease connections through structural similarity (Tanimoto coefficient on circular fingerprints), compound-disease scoring, and overlapping target analysis. Integrate network-based mechanistic scoring to complement traditional similarity approaches.
Drug Repurposing & Candidate Ranking
Prioritize repurposing candidates using integrated scoring that combines structural similarity, compound-disease scores, overlapping target metrics, and network-based gene prioritization. Validate predictions against clinical evidence and published literature.
Functional Enrichment & Pathway Analysis
Perform Gene Ontology (GO) and KEGG pathway enrichment analysis on shared gene targets to uncover biological processes, molecular functions, and signalling pathways that mechanically link drugs to diseases and guide precision medicine strategies.
Powered by Our Software
Purpose-built platforms for integrative bioinformatics and drug repurposing
ReDEx — Repurposing Drug Explorer
An integrated, zero-code platform that streamlines drug repurposing through five interactive modules: SMILES similarity, drug repurposing scoring, gene intersection analysis, PPI network exploration, and functional enrichment.
- Multi-source PPI network (900K+ interactions)
- Network-based gene prioritization via RRF
- GO & KEGG functional enrichment analysis
- Jaccard similarity heatmaps for multiple inputs
- Publication-ready customizable plots
Isalos Analytics Platform
End-to-end workflow automation for data manipulation, machine learning model development, and predictive analytics for omics data — no programming required.
- AutoML & advanced statistics
- No-code environment
- Multi-omics dataset processing
- QSAR/QSPR model building
- Data-driven biomarker identification
ReDEx: Integrated Drug Repurposing Platform
Consolidating structural, network-based, and functional methodologies in a single interface
ReDEx (Repurposing Drug Explorer) is a user-friendly, zero-code platform developed by NovaMechanics that streamlines drug repurposing through five interactive modules. Unlike existing tools that focus on isolated aspects of drug repurposing, ReDEx enables comprehensive mechanism-informed exploration of individual drugs, diseases, or drug-disease pairs.
The platform integrates curated datasets from DisGeNET, Open Targets, STRINGdb, BioGRID, IntAct, DGIdb, PharmGKB, and TTD, comprising over 900,000 high-confidence PPI interactions. Applied to Bipolar Disorder, ReDEx recovered all three withheld FDA-approved drugs within the top 15 out of 28,189 candidates, achieving an ROC AUC of 0.9998.
- SMILES Similarity Tanimoto coefficient on CDK-generated circular fingerprints for structural similarity ranking
- Drug Repurposing Scoring Integrates compound-disease scores, Tanimoto, overlapping target scores, and network-based RRF
- Gene Intersection & PPI Networks Identifies shared drug-disease targets, builds PPI subnetworks, and applies centrality metrics
- Enrichment Analysis GO (BP, MF, CC) and KEGG pathway analysis via clusterProfiler with publication-ready plots
- Validated Performance ROC AUC 0.9998 for Bipolar Disorder; 14-fold improvement in early retrieval over random