Research
Original Computational Research
7DNA conducts active research across neuroinformatics, drug target identification, multi-omics and biomedical AI, generating methods, datasets and publications that advance the field.
Active Projects
Current Research Programmes
Three core research programmes are currently active at 7DNA Analytica, each producing computational methods, software tools and scientific outputs.
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Computational Neuroimaging & Brain Connectomics
Neuroinformatics · Graph Theory · fMRI · DTI
This programme applies graph-theoretic analysis to resting-state fMRI and DTI-derived structural connectivity matrices. We compute brain-connectivity signatures, including global efficiency, local efficiency, clustering coefficient and modularity, across clinical cohorts and healthy populations. The NeuroSignature platform is the primary software output of this programme.
fMRI analysis
Graph theory
Connectome matrices
FSL / nilearn
NetworkX
Python
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Computational Drug Target Identification
Drug Discovery · Molecular Docking · Bioinformatics
Using a multi-pronged computational approach, this programme integrates network pharmacology, structural bioinformatics and molecular docking to identify and validate drug targets. We combine publicly available omics data with structure-based methods to propose and rank candidate targets for diseases of interest, focusing on targets with unmet clinical need and druggable binding sites.
AutoDock Vina
PyMol
GROMACS
Network pharmacology
PDB / UniProt
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Multi-Omics Data Integration
Genomics · Transcriptomics · Proteomics · Data Analytics
This programme develops and applies statistical frameworks for integrating data across multiple biological layers, genome, transcriptome, proteome and metabolome. We focus on identifying cross-layer biomarkers, building predictive models from multi-omics features, and developing publicly accessible analysis pipelines for the research community.
DESeq2
Bioconductor
WGCNA
STRING
R / Python
TCGA / GEO
Publications
Selected Research Outputs
7DNA researchers contribute to peer-reviewed literature across computational biology, neuroinformatics and biomedical AI. View all publications →
Network Pharmacology and Molecular Docking Approach for Identifying Key Targets of Quercetin Against Non-Alcoholic Fatty Liver Disease
Differential Gene Expression and Pathway Analysis in SARS-CoV-2 Infected Human Lung Epithelial Cells: Insights from Publicly Available GEO Datasets
White Matter Structural Connectivity Alterations in Schizophrenia: A DTI Tractography and Graph Analysis Study
Datasets
Open Data & Research Resources
Where permissible, 7DNA shares datasets, analysis pipelines and computational tools generated in the course of our research. Open science advances faster.
- → Preprocessed connectivity matrices from resting-state fMRI studies (available via Research Decode)
- → Molecular docking score datasets for published target-ligand studies
- → Bioinformatics pipeline code available on request for collaborating labs
Research Collaborations
7DNA Analytica welcomes research collaborations with academic institutions, research hospitals and not-for-profit scientific organisations. We can contribute computational expertise, methodology, software tools and co-authorship on published outputs.
- ✓Joint computational analysis on shared datasets
- ✓Method development and validation
- ✓Software tools for research groups
- ✓Co-authorship on peer-reviewed outputs
Collaborate
Have a research project that needs computational input?
We collaborate with academic labs, research hospitals and R&D teams, contributing computation, methods and co-authorship.