From a SELEX pool to a validated shortlist.
Software that helps aptamer researchers test the candidates that actually bind — and skip the dozens that don't.
A single SELEX experiment produces thousands to millions of candidate sequences. The hard, expensive part isn't sequencing — it's deciding which few to synthesize, truncate, and validate by ITC / CD / FRET.
Today that decision rests on a patchwork of aging, disconnected tools:
Clustering by full-length sequence similarity splits real binding families apart.
Structure is predicted with decades-old, monovalent-only tools (mfold / UNAFold) that ignore the Mg²⁺ / K⁺ / Ca²⁺ in real buffers — and miss G-quadruplexes entirely.
Binding affinity is fit in spreadsheets.
The cost: wasted synthesis and truncation rounds on sequences that never bind, and real binding motifs that get missed.
AptaPilot connects the SELEX analysis workflow into one pipeline, so you reach a short, structure-aware shortlist faster.
Trim, cluster, and report from raw sequencing data.
Predict structure with the actual assay buffer (Na⁺ / Mg²⁺ / K⁺ / Ca²⁺ and temperature), including G-quadruplexes.
Group candidates by loop structure and surface each family's conserved motif — the likely binding core that tells you where to truncate.
Get clean Kd curves, ready for figures.
The result: labs spend bench time on the candidates that actually bind.
SELEX FASTQ trimming, family clustering, and PDF / PNG / XLSX / Word reports. Tunable clustering, tiered trim modes, unattended batch runs. Fully local.
DNA aptamer secondary-structure prediction with explicit Na⁺ / Mg²⁺ / K⁺ / Ca²⁺ and temperature inputs and native G-quadruplex detection and rendering. Built to replace mfold / UNAFold for routine SELEX work.
Quadratic binding-model Kd fitting from concentration / signal data. Paste from Excel, fit, export the curve. Runs entirely in your browser — nothing is uploaded.
Classifies SELEX aptamers by loop-region structure instead of full-length sequence, so aptamers with the same fold but different stems land in one family. Currently under wet-lab validation.
Divalent cations (Mg²⁺ / Ca²⁺) and G-quadruplexes, not just sodium — the ions your buffers actually contain.
Groups candidates by the architecture that drives binding, and points at the conserved motif — where to truncate.
Each tool reads the previous one's output, instead of a pile of one-off scripts and manual hand-offs.
Developed in an active SELEX lab to solve its own bottlenecks — and in daily use there.
Downstream, the aptamers these labs discover power diagnostics, biosensors, therapeutics, food-safety testing, and environmental monitoring.
The core tools are working and used daily in the lab; some modules (e.g. the structural family classifier and the divalent-cation folding engines) are experimental and under wet-lab calibration. We're currently talking to labs and companies to learn what they need most — if that sounds like you, we'd love to hear from you.
AptaPilot is built in Prof. Juewen Liu's lab (Bionanotechnology & Interfaces Laboratory) at the University of Waterloo, led by Dr. Xiaohan Zhang, with a small team spanning software development, commercialization, and customer discovery.
Problem, product hypothesis, customer-discovery goals, and the final go / pivot / no-go decision; software & algorithms; main speaker.
Scientific credibility, why the problem is real now, and the lab + wet-lab grounding behind AptaPilot.
Commercialization, IP, interview design, and feedback interpretation.
Development support; turns customer feedback into product requirements.
Interviews, surveys, and feedback synthesis.
Scan the code for the full project document — the problem, the pipeline, the validation plan, and the team, in one place.
Scan to watch the full 4K AptaPilot intro on YouTube (best on a fast connection).
Want to try the tools, share what your lab struggles with, or explore working together?
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