Computational Literature-based Discovery for Natural Products Research: Current State and Future Prospects.

ABSTRACT: Literature-based discovery (LBD) mines existing literature in order to generate new hypotheses by finding links between previously disconnected pieces of knowledge. Although automated LBD systems are becoming widespread and indispensable in a wide variety of knowledge domains, little has been done to introduce LBD to the field of natural products research. Despite growing knowledge in the natural product domain, most of the accumulated information is found in detached data pools. LBD can facilitate better contextualization and exploitation of this wealth of data, for example by formulating new hypotheses for natural product research, especially in the context of drug discovery and development. Moreover, automated LBD systems promise to accelerate the currently tedious and expensive process

SUBMITTER: Lardos A 

PROVIDER: S-EPMC9580913 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature