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BioInformatics
Our bioInformatics team synergizes biology, computer science, and IT expertise to delve deep into the vast realms of biological data. Harnessing cutting-edge technology and research methodologies, we interpret intricate biological datasets, unlocking profound insights and expanding the horizons of our understanding of living organisms.
We undertake
Sequence Analysis: Analysis of biomolecule sequences - DNA, RNA, and Proteins.
Phylogenetic Analysis: Evolutionary profiling of genes.
Molecular Modeling, Optimization & Structure validation: Preparation & selection of biomolecules for insilico analysis.
Pharmacokinetics/dynamics, Molecular Property & Mechanism Analysis: Druggability - Activity evaluation of small molecules.
Molecular Docking & Molecular Dynamic Simulation: Interaction analysis and stability validation.
Lead Molecule Generation: Identifying promising drug candidates.
Statistical Analysis & Writing: Data-driven insights and scientific documentation.
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Nanotechnology
At the forefront of nanotechnology, we excel in the synthesis and detailed analysis of nanostructured materials. Our advanced processes not only ensure precision at the minutest scale but also facilitate the capability to reproduce these materials in bulk, catering to both niche and large-scale requirements.
We undertake
Nanoparticle Synthesis: Creating nanoparticles like Silver, PANI, MXene, and more.
Analysis & Interpretation: Consultation on XRD, SEM, HRTEM, EDS, and other analytical methods.
Research to Community Program:Theoretical and hands-on training sessions.
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Protein Database
Our Bioinformatics team has prepared a curated protein database to cater to researchers working on human microbial interactions. Our database contains detailed information about thousands of proteins, including their molecular structure, function, and interactions.
Instructions for Complex interactions search
• Format the Complex ID as: Human UniProt ID_Microbial UniProt ID
• Always place the human protein's UniProt ID first, followed by the microbial protein's UniProt ID.
• Use an underscore (_) to separate the two IDs.
• Do not use spaces, dashes, or other symbols.
• Do not reverse the order of IDs.
Example:
- Human Protein (EGFR) → P00533
- Microbial Protein (VapC) → O06662
✅ Complex ID: P00533_O06662
❌ Invalid: O06662_P00533
• List of Microbial Proteins included in the DB.
byFrijo Johnsonof
Davinci's Men of Accubits
