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Computational
Biology

Harness the power of bioinformatics, structural biology, and systems biology to identify targets, understand mechanisms, and accelerate translational research.

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AlphaFold2
Structure prediction
NGS
Multi-omics analysis
PDB
Structural database
Network
Systems biology

Bioinformatics & Structural Biology

01

Protein Structure Prediction

AlphaFold2-based structure prediction, homology modeling (MODELLER, SWISS-MODEL), loop refinement, and quality validation for any therapeutic target.

02

Genomics & Variant Analysis

WGS/WES variant calling, annotation with ClinVar/dbSNP, somatic mutation landscapes, copy number variation, and pharmacogenomics profiling.

03

Transcriptomics

RNA-seq differential expression, pathway enrichment (GSEA, ORA), splicing analysis, and single-cell transcriptomic clustering and trajectory analysis.

04

Protein-Protein Interactions

PPI network construction, hub identification, druggable interface prediction, and allosteric communication pathway mapping.

05

Target Identification

Disease-gene association mining, phenotype scoring, multi-omics data integration, and novel therapeutic target prioritization.

06

Systems Biology Modeling

Metabolic network reconstruction (COBRA), flux balance analysis, kinetic modeling, and multi-omics network analysis for pathway intervention.

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Computational Biology Request

Share your biological question and we'll design the right analytical pipeline.