Lp(a): computational candidate development
In the Lp(a) program, BioTwin compared alternative molecular designs and their supporting assumptions, helping define a candidate program and a focused laboratory verification plan.
- Completed computational work · Lead and alternative molecular designs; computational examination of recognition, reaction chemistry and exposure; a draft experimental verification plan.
- Next stage · Synthesis and laboratory evaluation of productive engagement, functional persistence and selectivity.
- Nonconfidential program overview · The proposed compound properties are not yet established experimentally. Oral delivery and clinical benefit remain development objectives. Download program overview (JSON)
Examine the atlas and the underlying representations
The E3 atlas documents the breadth of one search. The 8DB examples examine how scientific relationships and alternatives can be represented and queried.
- E3: computational scope made explicit · The published atlas distinguishes screened ligases, included adaptors, prioritized ligases and recruiter-anchor hypotheses. None of those counts is a binding or degradation result. Inspect the atlas scope
- 8DB: preserve the reason for the next step · Native scientific representations and declared dependencies make an investigation available for comparison and follow-up. Planning suggestions and evidence-frontier comparisons have separate demonstrations. Examine the foundation
Broad exploration has already run on a desktop.
A recorded proteome-scale screening campaign ran on a desktop and produced candidate target sites for follow-up. It shows that broad candidate generation can be accessible on ordinary hardware. The output was a starting point for investigation, rather than experimentally validated binding sites.
- Choose the right level of computation · A broad screen, a detailed molecular simulation and experimental validation serve different purposes. Match the method and hardware to the next decision. Desktop and laptop research
What each kind of result establishes
A successful software operation, a computational comparison and a biological experiment answer different questions. Capability pages describe which kind of work exists and where further evidence is needed.
- Implemented operation · The method executes within a specified computational scope.
- Computational result · A model, comparison or candidate supports a bounded scientific conclusion.
- Experimental result · A physical measurement tests a molecular or biological claim.
- Clinical outcome · A patient study evaluates a clinical question under its protocol.
Build the case, test the assumption, choose the next move.
BioTwin combines scientific methods with a research record that can preserve why a route was proposed, what challenged it and what to investigate next. Its implemented components include atom-based clearance, separate fit and entry calculations, site-control triage, and records for detected, search-bounded absence and unresolved outcomes.
The native discovery guide can suggest relevant capabilities and alternatives for a stated objective, with the inputs and evidence gaps exposed. A candidate plan is a starting point for research. Supported program adapters can execute selected methods and retain their outputs; catalogue presence alone does not make every proposed connection executable.
That distinction matters when a result changes direction. A geometric restriction may call for a new attachment point. An uncertain state may call for better sampling. A binding hypothesis may call for a functional control or a measured engagement assay. Existing experiment and assay-planning methods can help specify that next question and proposed conditions, within their stated models.
The value of a joined investigation must be evaluated against a defined decision and a relevant existing workflow. Preserve the permitted starting information, site-selection rules, misses and unresolved cases. Biological binding, state populations and therapeutic effect each need their own evidence.
- Develop a pocket hypothesis · Follow candidate nomination through access, alternative mechanisms and next-test planning. Explore pocket investigation
- Make the geometry explicit · Separate what fits inside a site from what can reach it under the model. Inspect fit and access
When a result narrows the claim
The earlier apo-only study tested a specific C-alpha topology detector and did not establish a general discovery advantage. BioTwin has since added atom-based geometry, separate fit and entry checks, and evidence-aware result handling. Those additions strengthen candidate assessment; their combined blind-discovery advantage still needs a matched evaluation.
- Cryptic-pocket research · See the method, its current scope and the comparison a new target would need. Topological Cryptic-Pocket Discovery
- Kinetic mechanism analysis · See why the rates and clearance assumptions matter. Kinetic Amplification and Reversible-Covalent Regimes
Compare against your existing workflow
A prospective evaluation should define the target, input data, existing workflow and decision before work begins. Compare useful hypotheses, evidence quality, the next discriminating experiment and research effort under the same conditions. Cost or speed improvements should be measured in that evaluation.
Review the supporting research
Start with a nonconfidential scientific question. We can discuss the supporting methods and scope an appropriate review of research material, including access and confidentiality requirements.