Many paths lead to discovery: analogical retrieval of cancer therapies

  • Authors:

  • Trevor Cohen;Dominic Widdows;Lance De Vine;Roger Schvaneveldt;Thomas C. Rindflesch

  • Affiliations:

  • School of Biomedical Informatics at Houston, University of Texas;Microsoft Bing;Queensland University of Technology, Australia;Arizona State University;National Library of Medicine

  • Venue:
  • QI'12 Proceedings of the 6th international conference on Quantum Interaction
  • Year:
  • 2012

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Abstract

This paper addresses the issue of analogical inference, and its potential role as the mediator of new therapeutic discoveries, by using disjunction operators based on quantum connectives to combine many potential reasoning pathways into a single search expression. In it, we extend our previous work in which we developed an approach to analogical retrieval using the Predication-based Semantic Indexing (PSI) model, which encodes both concepts and the relationships between them in high-dimensional vector space. As in our previous work, we leverage the ability of PSI to infer predicate pathways connecting two example concepts, in this case comprising of known therapeutic relationships. For example, given that drug x TREATS disease z, we might infer the predicate pathway drug x INTERACTS_WITH gene y ASSOCIATED_WITH disease z, and use this pathway to search for drugs related to another disease in similar ways. As biological systems tend to be characterized by networks of relationships, we evaluate the ability of quantum-inspired operators to mediate inference and retrieval across multiple relations, by testing the ability of different approaches to recover known therapeutic relationships. In addition, we introduce a novel complex vector based implementation of PSI, based on Plate's Circular Holographic Reduced Representations, which we utilize for all experiments in addition to the binary vector based approach we have applied in our previous research.