- From: David Wild <djwild@indiana.edu>
- Date: Tue, 12 Jun 2012 12:32:20 -0400
- To: Oliver Ruebenacker <curoli@gmail.com>
- Cc: "Lin MD, Simon" <LINMD.SIMON@mcrf.mfldclin.edu>, Joanne Luciano <jluciano@gmail.com>, public-semweb-lifesci hcls <public-semweb-lifesci@w3.org>
- Message-ID: <CANbBT=i-BgA4adH-SxXQugXBybOwoq0BZVXhscg1qE3+QvN5_Q@mail.gmail.com>
> > Hopefully, in the future, we will be able to simulate, for a given > chemical structure: > > - which proteins (or other bio-molecules) it interacts with > - how that interaction changes the function of the bio-molecule > - how changed function of molecules change biological networks and > systemic function > > However, what the article says sounds more limited: > > "... a database of 73 proteins ..." > > > As such, Open Linked Data might offer help! > > Eventually. > The first (drug-target prediction) is something we're working on at IU - using a large, heterogenous semantic network of public compound, target, gene, expression, pathway, disease data to make drug-target predictions (see http://chem2bio2rdf.org/slap , http://slapfordrugtargetprediction.wikispaces.com/ , paper in press at PLoS Comp. Bio.). Results are promising so far but biggest question is how you weight different kinds of paths, nodes and edges - there is no one correct answer, but is dependent on the scientist and application using it. Right now we're not claiming that it predicts compound-target binding but rather an "association" which deserves further investigation. Also have to address preconception by many that "large / integrated dataset" = low quality, high errors. I argue that if you read 5 papers a day you are overall better informed than if you read just one of them, even if that one paper is a very high quality newspaper. > > Take care > Oliver > > -- > Oliver Ruebenacker > Bioinformatics Consultant ( > http://www.knowomics.com/wiki/Oliver_Ruebenacker) > Knowomics, The Bioinformatics Network (http://www.knowomics.com) > SBPAX: Turning Bio Knowledge into Math Models (http://www.sbpax.org) > > David ____________________________________________________ Dr. David J. Wild, djwild@indiana.edu, http://djwild.info @davidjohnwild Assistant Professor of Informatics & Computing Director, Cheminformatics & Chemogenomics Research Group Indiana University School of Informatics and Computing 901 E 10th St Rm 207, Bloomington, IN 47408 Tel. +1 812 856 1848
Received on Tuesday, 12 June 2012 16:32:57 UTC