Computational Biology

Operon Technologies pioneers computational biology services, merging data science and life sciences to unravel complex biological insights. Our cutting-edge algorithms and analyses empower researchers and industries to decode biological phenomena, from genomics to drug discovery. Join us in harnessing the power of computation for groundbreaking discoveries.​

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Key Computational Biology Services offered by Operon Technologies:

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• Protein structure prediction

• Deep learning library-based protein structure prediction

• Prediction of sequence/structural topology based continuous/discontinuous domains and domain boundaries

• Conserved motif analysis

• Sequence/predicted secondary structure-based sequence alignment

• Sequence conservation mapping of a protein sequence alignment/protein structure

• Construction of the biologically credble phylogeny for a sequence dataset

• Clade distribution/grouping analysis within a phylogeny

• Sequence dataset construction

• Sequence dataset culling

• Protein subcellular localization

• Prediction of disordered regions

• Prediction of signal peptides

• Per-residue energy analysis of a protein structure

• B-factor analysis of a protein structure

• Prediction of molecular interaction networks/Protein-protein interaction network

• Prediction of protein topology maps

• Prediction of coevolving residues in a protein sequence/structure

• Prediction of physicochemical properties of a protein sequence

• Predicting the promiscous nature of an enzyme

• Predicting the Relative Surface Accessibility

• Repacking of protein side chains into a model to improve its accuracy

• Building of Ramachandran map

• Prediction of active site

• Analysing the protein cavity for all the structural features

• Prediction of ligand binding site

• Docking analysis/ligand using all of the robust and reliable scoring measures

• Protein-protein docking

• Analysis of ligand interactions and finding the top-ranked lead compounds/substrate

• MD simulation

• Ligand structure construction

• Prediction of protein stability and stabilizing/destabilizing mutations

• Surface analysis of a protein structure

• Prediction of APBS surface for a protein structure

• Prediction of protein hinges

• Building oligomer of a protein structure

• Anisotropic network modelling of a protein structure

• Gaussion network modelling of a protein structure

• Flexibility analysis of a protein structure

• Collective motion and functional dynamics of a protein structure

• Assessment of the credibility of a predicted protein model

• Building the heatmap for an input data