Target and mechanism intelligence
Rank targets using disease context, pathway evidence, mechanistic plausibility and validation strength.
Where SoftMining enters
Begin with the scientific question blocking the programme
A collaboration can start from a target, disease area, candidate set, stalled asset or fragmented internal knowledge. The first objective is always a decision—not technology deployment for its own sake.
Disease opportunity mapping
Connect literature, patents, omics, clinical evidence and unmet need into a structured opportunity space.
Candidate evaluation
Prioritise molecules through structural context, physicochemical properties, ADMET and development constraints.
Repositioning and failure analysis
Interrogate stalled programmes, alternative mechanisms and the evidence needed to recover asset value.
ADAPT operating model
Every layer contributes to the same programme decision
Literature, targets, molecules, calculations, experiments, pharmacology and expert review are connected layers of one scientific memory.
ONE SCIENTIFIC MEMORYADAPTGlobal AI core
DeepSageEvidence
Target reasoningBiology
Structural models3D context
SIMILISSimilarity
Pareto optimisationTrade-offs
ADMETDevelopability
SYNTHEXSynthesis
AssaysValidation
PharmacologyTranslation
Expert reviewDecisions
Frame→Understand→Design→Make & test→Learn
Technical layer: architecture, equations, tool dossiers and scientific references.Explore ADAPT in technical detail →
Evidence and targets
Move from information retrieval to traceable scientific reasoning
ADAPT structures claims, provenance, contradictions and uncertainty, then relates them to the hypotheses and experiments that matter.
Map the evidence
claims · sources · confidence
Rank mechanisms
context · plausibility · relevance
Identify gaps
uncertainty · decisive experiments
Preserve rationale
advance · stop · revisit
Multi-objective molecular decisions
The best predicted binder is not necessarily the best candidate
The programme must balance biological activity with properties, safety, synthesis, costs, novelty and evidence quality.
Potency, selectivity & mechanismExposure, clearance & toxicityRoutes, stability & tautomerismPatentability & differentiationCost, time & resourcesExplicit trade-offs
Programme-specific models
Specialised models work as a connected ensemble
Evidence, similarity, structural, optimisation and ADMET capabilities are orchestrated by ADAPT around the programme—not exposed as isolated point tools.
Design–make–test–learn
The computational loop becomes a physical loop
ADAPT interfaces with the SYNTHEX platform. The distinctive feature is not synthesis automation alone, but the connected choice of what to produce and test.
Custom-configured automation
Robotic modules are configured for the chemistry, materials, transfers and analytical interfaces required by the programme.
Functionalised magnetic nanoparticles
Magnetic solid supports enable parallel handling, separation, washing and multi-step library synthesis.
Model-guided production and testing
ADAPT selects syntheses and assays for information value, then returns success and failure to the next cycle.
DESIGN → MAKE → SEPARATE → TEST → LEARNFaster iteration is a consequence of integration.
Technical layer: miniaturised parallel synthesis, magnetic supports, process-state tracking, QC and ADAPT feedback.Explore SYNTHEX in technical detail →
Illustrative pilot cadence
Move from a bottleneck to a decision-ready programme package
This is an illustrative fast-track cadence. Timing depends on data readiness, chemistry, assay availability and experimental scope.
Frame
Define the question, available data, success criteria and decision gates.
Programme charterInterrogate
Build the evidence landscape, target rationale and uncertainty map.
Evidence packagePrioritise
Evaluate candidates and expose the important programme trade-offs.
Decision setClose the loop
Define or execute synthesis, assays and the next learning cycle.
Go/no-go packageWhat remains after the engagement
Deliverables are designed to compound—not expire
The partner receives a decision package and a reusable programme memory that preserves the logic behind the decision.
Traceable evidence map
Claims, sources, contradictions, confidence and knowledge gaps.
Target or mechanism rationale
Context, assumptions, validation priorities and alternatives.
Multi-objective candidate set
Rankings, trade-offs, liabilities, uncertainty and backup options.
Synthesis and assay plan
Routes, experiments, decision gates and expected information value.
Decision-ready report
Go/no-go rationale, risks, milestones and recommended next action.
Reusable ADAPT workspace
Structured programme memory for subsequent discovery cycles.
Ways to work together
Start focused. Expand when the scientific value is visible
Engagements can evolve from one tightly scoped decision to an integrated platform relationship or co-development programme.
Resolve one bottleneck
Measurable milestones and reusable outputs.
Fast proof of valueEmbed the workflow
Programme-specific modules, scientific memory and SaaS/API access.
Operational integrationAdvance selected assets
Shared scientific milestones, IP and commercial upside.
Strategic partnership