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Computational Biology

Elevate Discoveries, Empower Innovations, Excel in Solutions


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.​

Key Computational Biology Services offered by Operon Technologies:

  • 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

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