From chemistry-request#* at *#ccl.net Tue Jan 4 12:44:49 2005 Received: from arwen.arqule.com (smtp.arqule.com [64.119.137.200] (may be forged)) by server.ccl.net (8.12.8/8.12.8) with SMTP id j04Hin65017125 for ; Tue, 4 Jan 2005 12:44:49 -0500 X-MimeOLE: Produced By Microsoft Exchange V6.0.6487.1 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1" Subject: ACS (Comp): Washington DC 2005. Call for Papers Date: Tue, 4 Jan 2005 13:01:40 -0500 Message-ID: <59527B219115AA4CBBE9DEF5D729F222296775$at$ACE.arqule.com> X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: ACS (Comp): Washington DC 2005. Call for Papers Thread-Index: AcTyh3DHwBIhRyjZRbG6dcDDI5H+rg== From: "Smellie, Andrew" To: Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by server.ccl.net id j04Hin65017126 230th ACS National Meeting, Washington DC,August 28 - September 1, 2005 COMP division 1st Call for papers The Visualization and Interpretation of Computational Models ============================================================ There are many different approaches available for modeling chemical data. Biological activities can be estimated using a number of approaches such as numerical modeling, pharmacophore construction or structural comparisons. The interaction of small molecules to binding sites can be described using docking models, shape comparisons or pharmacophores. Physico-chemical properties can be estimated using a variety of techniques. All these problems share one common and often unresolved issue. Whatever the model is teaching us about the system in question must be communicated to the clients of the model. This symposium will focus on methods that have been developed to aid in the interpretation of models of all types common in Computational Chemistry. The symposium will not discuss new modeling techniques, but will focus on methods that have been devised to extract the maximum information from the models and communicate that information to clients. Papers are invited that cover issues on * Visualization of Modeling Data * Interpretation of Modeling Data * Communication of knowledge from the model to clients (e.g. chemists, biologists etc) The organizers are Andrew Smellie, Anton Filikov and Rocio Palma of Arqule Inc. Please submit your abstracts to asmellie$at$arqule.com no later than April 2nd 2005 Dr. Andrew Smellie Senior Scientist Arqule Inc. 19 Presidential Way, Woburn MA 01801 USA asmellie$at$arqule.com 781-994-0559 (direct) 781-994-0679 (fax)