Abstract
Every entirely sequenced genome reveals 100s to 1000s of protein sequences for which the only annotation available is 'hypothetical protein'. Thus, in the human genome and in the genomes of pathogenic agents there could be 1000s of potential, unexplored drug targets. Computational prediction of protein function can play a role in studying these targets. We shall review the challenges, research approaches and recently developed tools in the field of computational function-prediction and we will discuss the ways these issues can change the process of drug discovery.
| Original language | English |
|---|---|
| Pages (from-to) | 1475-1482 |
| Number of pages | 8 |
| Journal | Drug Discovery Today |
| Volume | 10 |
| Issue number | 21 |
| DOIs | |
| State | Published - 1 Nov 2005 |
| Externally published | Yes |
Bibliographical note
Funding Information:Thanks to Jinfeng Liu, Rajesh Nair, Andrew Kernytsky and Kazimierz Wrzeszczynski (Columbia University, USA) for their help in preparing this manuscript. This work was supported by the grants (RO1-GM64633–01) from the National Institutes of Health (NIH), and (RO1-LM07329–01) from the National Library of Medicine (NLM). Last, but not least, thanks to the GeneOntology team of Michael Ashburner (Cambridge, UK) for their gargantuan effort, to Amos Bairoch (SIB, Geneva, Switzerland), Rolf Apweiler (EBI, Hinxton, UK), Phil Bourne (San Diego University, USA) and their crews for maintaining excellent databases and to all experimentalists who enable computational biology by making their data publicly available.
Funding
Thanks to Jinfeng Liu, Rajesh Nair, Andrew Kernytsky and Kazimierz Wrzeszczynski (Columbia University, USA) for their help in preparing this manuscript. This work was supported by the grants (RO1-GM64633–01) from the National Institutes of Health (NIH), and (RO1-LM07329–01) from the National Library of Medicine (NLM). Last, but not least, thanks to the GeneOntology team of Michael Ashburner (Cambridge, UK) for their gargantuan effort, to Amos Bairoch (SIB, Geneva, Switzerland), Rolf Apweiler (EBI, Hinxton, UK), Phil Bourne (San Diego University, USA) and their crews for maintaining excellent databases and to all experimentalists who enable computational biology by making their data publicly available.
| Funders | Funder number |
|---|---|
| National Institutes of Health | RO1-LM07329–01 |
| National Institute of General Medical Sciences | R01GM064633 |
| U.S. National Library of Medicine | R01LM007329 |