Historical milestone · 1996
ILP for structure-activity relationships
Reviewed through September 18, 2026
1996 · Historical milestone
ILP for structure-activity relationships
- Era
- 1990s
- Theme
- AI for science
- Evidence form
- Learned relational rules predicting mutagenicity from atoms and bond connectivity and compared them with established chemical methods
- School / paradigm
- Inductive logic programming
- Institution / context
- Oxford / Imperial College
- Researchers
- Ross King; Stephen Muggleton; Ashwin Srinivasan; Michael Sternberg
Researcher index
Stephen Muggleton
Inductive logic programming · Oxford / Imperial
Inverse entailment and Progol
Why it still matters. Combined relational logic, background knowledge, and induction for scientific hypotheses.
Representative source for this researcher — not necessarily the source of this milestone: https://doi.org/10.1007/BF01536314 (opens in a new tab)
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Demonstrated interpretable machine learning over structured scientific knowledge could produce competitive predictive rules.
Result / historical claim. Small curated datasets and hand-designed predicates constrain generalization; predictive association is not causal discovery.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: AI for science.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Learned relational rules predicting mutagenicity from atoms and bond connectivity and compared them with established chemical methods
Limitation / debate. Graph learning, molecular property prediction, interpretable drug discovery, and domain priors.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is AI for science.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.