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The Cost of Slow Discovery
Traditional drug discovery is slow, expensive and fragmented.
Moving from target to viable lead compound can take years, with teams spending months analysing structural data and iterating designs across disconnected tools. These delays increase costs, slow innovation and postpone the development of therapies patients urgently need.
Fragmented Tools & Data Silos
Discovery is siloed across disconnected tools, creating data islands that prevent holistic insight.
Context Loss Across Stages
Scientific context evaporates as molecules move from Target ID to Lead Opt — causing repetition and error.
Incomplete Decision Intelligence
Go/no-go decisions made with partial data cause late-stage failures that could have been predicted earlier.
Accelerating the path
From Target to Lead
Move from target to lead in weeks, reducing time-to-lead by 40% to 70%.
tSlice transforms structural biology data into actionable insights, enabling teams to design, evaluate and optimise compounds faster.
By combining generative chemistry, physics-informed machine learning and collaborative workflows, the platform accelerates the journey from target to lead compound.
How does tSlice work?
tSlice brings the entire discovery workflow into one integrated environment.
Analyse the
Target
Upload protein structures and identify druggable pockets.
Target ID ⸱ Binding Site
Generate Candidate Molecules
AI models design novel compounds for the binding site.
generative chemistry
Evaluate and Rank Compounds
Predictive models assess affinity, selectivity & ADMET properties.
admet ⸱ docking⸱ QSAR
Optimise
Leads
Iterative learning improves potency and drug-likeness.
Feedback loop ⸱ HITL
From Structure to
Validated Compounds
Intelligent Ingestion
The engine ingests any 3-D structure, from crystal and NMR data to AlphaFold models, to automatically detect druggable pockets. It identifies known actives from your libraries, mines SAR patterns, and provides the structural rationale chemists need to make informed synthesis decisions.
Generative Scoring
Four coordinated AI agents act as a 24/7 virtual chemistry team, generating novel chemotypes in real time. These are instantly triaged using physics-informed ML to balance affinity, selectivity, and ADMET profiles simultaneously.
Proof In Performance
In an academic pilot for a first-in-class kinase inhibitor, the platform moved from target identification to a ranked hit series in just 8 weeks. These results demonstrate the power of expert intuition accelerated by AI.
The Infrastructure of Innovation
This approach combines human insight with machine intelligence to accelerate discovery while maintaining scientific oversight.
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Step into the future
with PortOS
Designed for logistics, warehousing, and retail sectors, PortOS automates everything from invoicing to compliance. It’s your go-to solution for streamlined operations, sharper insights, and effortless scalability.
Secure Multi-Disciplinary Workspace
Real-time co-creation without the 'black box'
Chemists, biologists, data scientists, and AI agents unite in a single environment for seamless collaboration. Unlike opaque systems, every recommendation is fully explained through SAR rationale and binding predictions, eliminating black-box outputs and ensuring your team retains total transparency and control.
Experimental Feedback Loops
Retraining the platform with your lab results
Close the loop between digital design and physical testing. As your team tests compounds, results are fed back into the platform to train the model, ensuring next-round recommendations are smarter and discovery accelerates over time as the platform learns from your proprietary data.
Ethical-by-Design Governance
Built-in safety for GXP-aligned compliance
Our platform utilizes automated checks and activity logs to block misuse and maintain strict regulatory compliance at every stage. This ethical-by-design approach ensures your R&D pipeline meets the highest global standards for safety, integrity, and biosecurity.
Full-Spectrum
Audit Transparency
Publication-ready data with a digital paper trail
R&D directors gain complete oversight through timestamped ledgers and documented reasoning for every hit generated. This ensures all platform insights are verifiable, traceable, and ready for regulatory filing or scientific publication from day one.
Broad-Spectrum Scalability
Accelerating cures from oncology to rare diseases
This versatile engine is designed to address diverse therapeutic challenges, moving from target identification to lead generation in weeks rather than years. By compressing analysis cycles, we help you bring life-saving therapies to patients faster, regardless of target complexity.
AI-Assisted
Protein Structure Generation
Go from Sequence to Structure in minutes
R&D directors gain complete oversight through timestamped ledgers and documented reasoning for every hit generated. This ensures all platform insights are verifiable, traceable, and ready for regulatory filing or scientific publication from day one.
PortOS Roadmap
Innovating Today,
For Tomorrow
Future AI Integration
Generative AI-powered agents are in development to handle routine tasks, enhance customer management, and support operational planning, setting the stage for smarter operations.
Touchless Invoicing
Upcoming innovations aim to fully automate invoicing, eliminating manual handling, reducing errors, and optimizing cash flow with seamless billing processes.
Design the Next Generation of Therapies
Reach out to us today and discover how tSlice can help your team move from target to validated compounds faster.