Web Search of New Linearized Medical Drug Leads

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📝 Original Info

  • Title: Web Search of New Linearized Medical Drug Leads
  • ArXiv ID: 1404.3435
  • Date: 2014-04-15
  • Authors: Researchers from original ArXiv paper

📝 Abstract

The Web is a potentially huge source of medical drug leads. But despite the significant amount of multi- dimensional information about drugs, currently commercial search engines accept only linear keyword strings as inputs. This work uses linearized fragments of molecular structures as knowledge representation units to serve as inputs to search engines. It is shown that quite arbitrary fragments are surprisingly free of ambiguity, obtaining relatively small result sets, which are both manageable and rich in novel potential drug leads.

💡 Deep Analysis

Deep Dive into Web Search of New Linearized Medical Drug Leads.

The Web is a potentially huge source of medical drug leads. But despite the significant amount of multi- dimensional information about drugs, currently commercial search engines accept only linear keyword strings as inputs. This work uses linearized fragments of molecular structures as knowledge representation units to serve as inputs to search engines. It is shown that quite arbitrary fragments are surprisingly free of ambiguity, obtaining relatively small result sets, which are both manageable and rich in novel potential drug leads.

📄 Full Content

The Web is a potentially huge source of medical drug leads. But despite the significant amount of multi- dimensional information about drugs, currently commercial search engines accept only linear keyword strings as inputs. This work uses linearized fragments of molecular structures as knowledge representation units to serve as inputs to search engines. It is shown that quite arbitrary fragments are surprisingly free of ambiguity, obtaining relatively small result sets, which are both manageable and rich in novel potential drug leads.

Reference

This content is AI-processed based on ArXiv data.

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