Accelerate every stage of discovery,
built for Biopharma
One platform for every research workflow. Your team focuses on decisions, Vecura runs the computation.
Target Identification
High-confidence targets with full literature and omics evidence.
Challenge
Relevant evidence is scattered across hundreds of publications and omics datasets.
Vecura
Vecura mines literature and multi-omic data to build structured evidence maps, surfacing high-confidence targets with full citation trails.
Associated Diseases · GSK-3β
● miningPathway & Biomarker Analysis
Full omics and pathway analysis in one command.
Challenge
Bioinformatics pipelines require specialist time and extended timelines.
Vecura
Full omics and pathway analysis in one command. Identify patient stratification biomarkers without waiting on a dedicated bioinformatician.
NES = normalized enrichment score
Virtual Screening
Dock millions of compounds against any target in hours.
Challenge
Screening large libraries manually takes weeks and significant compute setup.
Vecura
Dock millions of compounds against any target in hours. Vecura orchestrates GPU-accelerated docking automatically — no infrastructure work required.
Chemical Space · GSK-3β · 500 compounds
Binder Design
Generate high-affinity binders across small molecules, peptides, proteins, and biologics using generative AI.
Challenge
Generative binder design tools — RFdiffusion, BoltzGen, ProteinMPNN — each require separate compute pipelines and specialist expertise. Running multi-modality campaigns means stitching together incompatible toolchains, delaying the first ranked candidate by weeks.
Vecura
Vecura orchestrates generative design across all modalities from a single interface. Specify your target pocket and binding constraints, and Vecura generates, scores, and ranks candidates — from macrocycles to nanobodies — with no infrastructure overhead.
Generative Binder Design — GSK-3β
● generatingSmall molecule
BoltzGen128 candidates · best ΔG −9.8 kcal/mol
Linear peptide
RFdiffusion64 candidates · best Kd 85 nM
Macrocycle
BoltzGen32 generated · ranking…
Nanobody
ProteinMPNNTop ranked
| MC-0007 | Macrocycle | 12 nM | 91% novel |
| SM-0041 | Small molecule | −9.8 kcal | 94% novel |
| PEP-012 | Linear peptide | 85 nM | 87% novel |
ADMET Profiling
Safety liabilities attached to every hit at screening time.
Challenge
Safety liabilities found after synthesis waste months of lab time.
Vecura
Vecura auto-attaches key safety and ADMET profiles to every hit at screening time, so your team only advances compounds worth synthesizing.
ADMET Profile — NYB-0041823
6 / 8 PassLead Optimization
Enumerate analogs and predict SAR across your chemical space.
Challenge
Analog iteration cycles bottleneck the path from hit to candidate.
Vecura
Enumerate analogs and predict SAR across your chemical space in one run, with selectivity constraints and IP exclusions baked in.
Analog Series · GSK-3β · 5 of 128
Best: −10.1Safety Assessment
Tissue liability, essentiality scoring, and adverse signal extraction — automated.
Challenge
Toxicology synthesis across published data takes months of manual review.
Vecura
Vecura covers tissue liability, target essentiality, and adverse event signal extraction in a single automated run — well ahead of your submission deadline.
Risk Matrix — NYB-0041823
4 / 5 assessedRegulatory Reporting
Structured data packages and slide decks generated automatically.
Challenge
Formatting results for partners, investors, or regulators is slow and error-prone.
Vecura
Generate structured data packages, dashboards, and presentation-ready slide decks in the format your audience needs.
NYB-0041823 · Pre-IND Package
3 / 6 generatedOverall Risk
Low–Mod
Mutagenicity
Negative
Cardiac safety
Pass
Executive Summary
PDFTissue Liability Report
PDFADMET Data Appendix
CSVRegulatory Slide Deck
PPTXFDA Cover Sheet
DOCXPartner Data Package
ZIPAssociated Diseases · GSK-3β
● miningFrom the people running the experiments
“Our team spans medicinal chemistry, biology, and comp chem. Vecura is the first tool that actually works for all three without specialised setup. We've gone from hand-rolling pipelines to running entire campaigns through one workspace.”
Head of Discovery
Series A biotech
“I used to spend half my day formatting outputs between tools. Vecura just handles it — I describe the experiment and get back ranked hits with safety flags already attached.”
Computational Chemist
Oncology biotech
“The ADMET integration alone saves us from wasted screening cycles. We know which leads are viable before we ever touch the bench.”
Drug Discovery Scientist
Mid-size pharma
“What used to take a week of script-wrangling — fetching structures, running docking, filtering, summarizing — Vecura does in an afternoon.”
Structural Biologist
Academic lab
“The agent doesn't just run models — it reasons about which model to use and why. That's the part that surprised me most.”
Bioinformatics Lead
Research institute
“I can ask it to screen a target, generate a brief, and flag literature conflicts — all in one conversation. It's like having a computational collaborator available at 2am.”
Principal Scientist
Drug repurposing startup
“Supercharge your scientific productivity.”