The problem, what you provide, how the work is done, what you receive, and its limitations.
Molecular docking and ligand–protein analysis
Analysis
1 · The problem
You want to know whether candidate compounds could plausibly bind a target, and to prioritise them for experiments.
2 · What you provide
Compound structures (SMILES, SDF or names with sources)
Target proteins (PDB IDs or sequences) and the biological rationale
Known reference ligands or inhibitors, if any
3 · Method and scope
Receptor and ligand preparation, binding-site definition, re-docking of a reference ligand to check the protocol, docking with open-source tools (for example AutoDock Vina), pose inspection and interaction analysis.
4 · Deliverables
Methods text you can adapt, with software versions and parameters
Ranked results table with scores and key interactions
Publication-quality interaction figures
All input and output files for reproducibility
5 · Limitations and assumptions
Docking scores are approximate and are not binding affinities.
A good score is a hypothesis for testing, not evidence of activity.
Results depend on the quality of the available protein structure.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Molecular dynamics planning and analysis
Consultation
1 · The problem
A reviewer asked for stability evidence, or you are unsure whether MD adds anything to your docking results.
2 · What you provide
Docked complexes or structures
Available computing resources (local GPU, HPC or cloud allocation)
The question MD should answer
3 · Method and scope
Design of system set-up, force-field choice, equilibration and production length; analysis of RMSD, RMSF, hydrogen-bond occupancy and interaction persistence where trajectories are provided.
4 · Deliverables
Simulation plan with justification
Analysis plots and interpretation for supplied trajectories
5 · Limitations and assumptions
Running long simulations depends on computing access, which is agreed per project.
Short simulations cannot establish binding free energies.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Protein structure and molecular interaction analysis
Analysis
1 · The problem
You need to choose a reliable structure, or explain residues and interactions in a figure.
2 · What you provide
Protein name, UniProt accession or PDB IDs
Ligand or partner of interest
3 · Method and scope
Structure selection (resolution, completeness, ligand state), comparison with predicted models where needed, pocket identification and interaction mapping.
4 · Deliverables
Short structure-selection report
Annotated figures of pockets and interactions
5 · Limitations and assumptions
Predicted models carry uncertainty that must be stated in any write-up.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Network pharmacology and protein interaction networks
Analysis
1 · The problem
You want to explain how a plant extract or compound set might act on a disease pathway, in a way reviewers can follow.
2 · What you provide
Compounds or extract composition with sources
Disease or phenotype of interest
Any experimental targets already measured
3 · Method and scope
Target prediction and curation from public databases with stated thresholds, protein–protein interaction networks, hub analysis, and GO/KEGG enrichment; the filtering logic is recorded at every step.
4 · Deliverables
Network files and figures
Enrichment tables
Methods text and a list of databases with access dates
5 · Limitations and assumptions
Network results are hypothesis-generating.
Public database content changes; results are tied to their access date.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
In silico target assessment
Written review
1 · The problem
Before investing in experiments, you want to know whether the target and rationale hold up.
2 · What you provide
Target list and rationale
Compound list
3 · Method and scope
Literature and database review, structural availability, known ligands, and red flags such as promiscuous or assay-interfering compounds.
4 · Deliverables
Two- to four-page assessment with recommendations
5 · Limitations and assumptions
This is a desk assessment, not an experimental validation.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Bioinformatics and reproducible computational workflows
Build
1 · The problem
Your analysis cannot be repeated exactly, or takes days to redo when data change.
2 · What you provide
Example data (anonymised where needed)
The current manual steps
3 · Method and scope
Scripted pipeline with version-pinned packages, input validation, logged outputs and a short README; built by our technology lead with scientific review by our scientific lead.
4 · Deliverables
Scripts or notebook, environment file and README
A handover session
5 · Limitations and assumptions
We do not host pipelines or store your data after handover unless agreed in writing.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Data processing and scientific visualisation
Analysis
1 · The problem
Figures are inconsistent, or the data need restructuring before analysis.
2 · What you provide
Your raw or summary data with a description of how it was generated
3 · Method and scope
Documented cleaning steps (no values are changed without a recorded reason), consistent figure styles and accessible colour palettes.
4 · Deliverables
Figures in the formats your journal or university requires
The script used to make them
5 · Limitations and assumptions
We never create, alter or "improve" data. Outliers are flagged and discussed with you, not removed silently.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Scientific Python and R analysis
Analysis
1 · The problem
You know which comparison you need but not how to run and report it correctly.
2 · What you provide
Data and study design
The comparisons planned in advance
3 · Method and scope
Analysis matched to the design, assumptions checked and reported, code shared.
4 · Deliverables
Results tables and plots
Code and a plain-language explanation
5 · Limitations and assumptions
Complex statistical designs (for example clinical trials or mixed models for large cohorts) are referred to a qualified statistician.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Computational methods consultation
Consultation
1 · The problem
You have been told to "add bioinformatics" and are unsure what is appropriate.
2 · What you provide
Project summary and existing data
3 · Method and scope
A meeting followed by written recommendations.
4 · Deliverables
Consultation notes with recommended tools and steps
5 · Limitations and assumptions
Recommendations are limited to freely available or client-licensed software.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
Research software and workflow troubleshooting
Consultation
1 · The problem
A tool fails, or outputs look wrong, and the deadline is close.
2 · What you provide
Error messages, the command or script used, and software versions
3 · Method and scope
Remote troubleshooting session; fixes are explained so that you can repeat them.
4 · Deliverables
Working configuration or script and notes
5 · Limitations and assumptions
We do not request remote access to university systems or your credentials.
6 · Requesting a quotation
Send a short enquiry describing your question, stage and deadline. We reply with a written scope — deliverables, timeline and price — before any work or payment begins. Start an enquiry.
How it works
1You send the research question, targets or data description.
2We confirm feasibility and the tools to be used, and quote a fixed scope.
3The analysis is run, documented and checked.
4You receive results, figures, files and methods text, and a walkthrough.
You receive
Results tables and figures
Methods text with software versions and parameters
All input/output files and scripts for reproducibility
A walkthrough meeting
What we need from you
Research question and biological rationale
Compound and target lists or datasets
Journal or thesis formatting requirements
Limits and exclusions
Computational predictions are not proof of biological, experimental or clinical efficacy, and are always reported as such.
We use open-source tools and public databases unless you hold licences for commercial software. We do not claim access to proprietary databases.
Results reflect database versions and structures available on the date of analysis.
We do not offer
Claims of drug efficacy or safety based on in silico work alone
Open-source tools by default (for example AutoDock Vina, PyMOL open-source, RDKit, Cytoscape, and Python/R packages). The exact tools and versions are listed in your methods text. If your institution licenses commercial software, we can work with outputs you generate.
Will docking results be enough for a paper?+
Many journals now expect docking to be supported by experimental work or at least by validation steps. We will tell you honestly what a reviewer is likely to ask for.
Who does the computational work?+
Our scientific lead is responsible for the scientific design and interpretation. Our technology lead builds pipelines, automation and data processing. Any external specialist is named in your scope before work begins.
Dashboards, trackers, validated data pipelines and automated reports for research groups and organisations — built so that you own and understand them.
For:
Research groups tracking students, samples, experiments or grants
Ethical, methodology-first support for BS, MSc, MPhil and PhD researchers. You remain the author; we help you plan, analyse, present and defend your own work.
For:
BS and MSc students starting a research project
Lead:
Scientific Lead
Explore service
Tell us what you’re working on.
Send a short, confidential summary. We reply with an initial scope assessment, and you agree deliverables, timeline and price before anything starts.
