Industry

Pharma & Biopharma

Computational R&D support for pharmaceutical and biopharma organisations, from early target identification and hit discovery through ADMET profiling, lead optimisation and clinical data analytics.

What We Offer

How 7DNA Supports Pharma R&D

01

Target Identification & Validation

Network pharmacology approaches integrating PPI networks, pathway databases and disease gene datasets to identify and prioritise drug targets. Computational docking validation of target-ligand interactions.

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02

Virtual Screening & Hit Discovery

In silico high-throughput virtual screening of chemical libraries against validated protein targets. Molecular docking, pharmacophore screening and ligand-based similarity searching to identify candidate hits.

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03

ADMET Profiling

In silico ADMET prediction for candidate compounds, Lipinski / Veber drug-likeness, solubility, permeability, hERG toxicity, CYP inhibition prediction and blood-brain barrier penetration using validated computational models.

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04

Biomarker Discovery

Multi-omics integration and statistical analysis to identify disease biomarkers and pharmacodynamic markers from genomics, transcriptomics and proteomics datasets, relevant for companion diagnostics and patient stratification.

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05

Clinical Data Analytics

Statistical analysis of clinical trial data, survival analysis, efficacy endpoint modelling, subgroup analysis and biostatistics reporting for regulatory submissions.

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06

Drug Response Prediction

ML-based prediction of drug response from molecular profiles, integrating genomic, transcriptomic and epigenomic data to build models applicable to patient stratification and precision medicine.

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Why 7DNA

Computational Expertise Grounded in Biology

Unlike general-purpose IT or data science consultancies, 7DNA's team has domain training in medicinal chemistry, molecular biology and pharmacology. We understand the biology behind the computation.

  • ✓Structure-based drug design, not just number-crunching
  • ✓Appropriate tool selection for each stage of the discovery pipeline
  • ✓Results interpreted in biological and pharmacological context
  • ✓Publication-ready reports and data packages
Discuss Your Project
Primary Tools
AutoDock VinaGROMACSPyMolSwissADMESTRINGRDKit
Databases
PubChemChEMBLDrugBankRCSB PDBUniProt
Deliverable Formats
PDF ReportExcel / CSV dataPyMol sessionsJupyter notebooks
Pharma R&D Partnership

Ready to accelerate your drug discovery pipeline?

Tell us about your target, compound libraries or analytical challenge, we'll scope a computational approach.

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