IndiskaAI Logo
Back
Programmes & development

R&D Services

Customised research and development across antibody engineering.

Enquire about this service→All services
How a programme runs
Antibody Fab (navy) bound to lysozyme (sand); contacting residues on both sides highlighted in gold

Several methods, chosen for the question.

A real antibody–lysozyme complex with the residues at its interface in gold, computed from the deposited coordinates: the kind of question a programme starts from, which region matters. A worked example, not a project result. PDB 3HFM.

Research strategies built around your targets, formats, and development challenges, from early concept through characterisation and optimisation.

Why a programme

Hard problems rarely fit one service; the strategy that connects the methods matters most.

The methods a programme connects

A programme draws on the services below, in whatever combination answers the question. Open one to see what it takes in and what it returns.

Antibody Fab (navy) bound to lysozyme (sand); contacting residues on both sides highlighted in gold
Real structure · PDB 3HFM

Antibody Discovery

Computational support across antibody discovery, from lead refinement to candidate generation.

ExploreAntibody Discovery
Cutaway of HIV-1 protease (navy) with a small-molecule inhibitor (gold) settling into its central pocket
Real structure · PDB 1HSG

Molecular Docking

Candidate binding poses and interface maps, ranked and explained.

ExploreMolecular Docking
Two protein partners (blue and green) with their shared interface highlighted in orange
Illustrative render

Molecular Dynamics

From static poses to dynamic behaviour.

ExploreMolecular Dynamics
Simulated read pileup across one exon: a coverage track, the reference sequence and stacked reads, with one position where about half the reads carry a different base
Illustrative: simulated reads, not from a sample

Genomics

Whole exome sequencing analysis: raw FASTQ to an annotated variant report, for research use.

ExploreGenomics
Volcano plot of log2 fold change against statistical significance, with the top up- and down-regulated genes labelled
Illustrative chart, simulated data

Biomarker Discovery

Bulk RNA-seq in. Candidate biomarkers, the pathways behind them and a reproducible report out, for research use.

ExploreBiomarker Discovery

Illustrative renders, not outputs from an actual run.

How an engagement runs

  1. 01

    Scope

    Target, format, and constraints.

  2. 02

    Strategy

    Which methods answer the question.

  3. 03

    Iterate

    Design, analyse, refine.

  4. 04

    Characterise

    Computational assessment of candidates.

  5. 05

    Report

    Evidence, gaps, next steps.

Three steps

Getting started with us

  1. 01

    Share your starting point

    Target, structures, sequences, or data, whatever you already have.

  2. 02

    Define the question

    We agree what decision the analysis needs to inform.

  3. 03

    Receive decision-ready outputs

    Results, figures, and a report stating what they do and don't show.

Scope & limitations

Computational and advisory work. IndiskaAI does not run wet-lab experiments: characterisation here means computational assessment, and every output is evidence for experimental follow-up rather than a result in its own right. Where a programme is really one candidate decision rather than an open research question, Product Development and Automation Services is the better starting point.

Have a research problem that spans methods?

A research strategy that connects the right computational methods to your target, format, and development challenge.

Enquire about this service→Home