- ChemAxon

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Virtual Classrooms and E-Learning

:

Bringing Cheminformatics Training Into

Academic and Industrial Settings

ChemAxon

Users Group Meeting

May 19-21, 2005

TJ O'Donnell

Norah MacCuish and

John MacCuish

The Motivation of the

Cheminformatics Virtual

Classroom

Bring Mesa Analytics & Computing Software into the hands of researchers

Motivate research with our tools

Longer term marketing advantage

National Science Foundation

Disclaimer

Science Foundation Small Business Innovation Research

(SBIR) Program under Grant No. 0450457. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation -- Mesa

Analytics & Computing, LLC

NSF awards SBIR grants to small businesses for risky, novel research with a potential for commercialization. Through SBIR and the related Small Business Technology Transfer (STTR) programs, NSF encourages partnerships between the small business and the academic sectors to develop a technology base for commercialization.

Phase I Team

Grant and NSF Funded

Norah MacCuish PI (principal investigator)

John MacCuish

– Mesa software

TJ O’Donnell (O’Donnell Associates)– web development

Tudor Oprea ( University of New Mexico )

– pedagogical team member

Jack Thatcher ( Dawnbreaker) – commercialization consultant

Vendor Participants – OpenEye and ChemAxon

Mesa Funded

Mitch Chapman (Desert Moon)

– software design and gui

Andrew Dalke (Dalke Scientific Software)

– Mesa software design

Compound substructure analysis with ChemTattoo and

MarvinView, using the cheminformatics virtual classroom

Phase I prototype.

The Clustering course portion of the virtual chemoinformatics classroom Phase I prototype.

MarvinView from ChemAxon and OEChem from

OpenEye Scientific Software, Inc are third party software that facilitates Mesa’s underlying software suite.

The interactive dendrogram and level selection viewer that students use to view the contents of each cluster using

MarvinView.

Phase I Summary – What we learned

Yes it is “feasible” to deliver our software via a web or virtual environment! Whew!

Many commercial software vendors do not provide “reasonable” licensing schemes for universities, especially for products which the university views as a small “part” of a course and not the whole.

Affordability is key

Software needs to have ease of delivery, no systems help to install, web is ideal, especially for universities overseas

Software tools need to teach concepts which fit into a semester or course timeframe

Our tools are just a portion of what are needed for a cheminformatics virtual classroom. We needed more vendor participation.

Modular design so professors can pick and choose which modules work for their courses.

Possible Industrial eLearning market

Phase II Team

• PI – Norah MacCuish

Pedagogical Team

Gerry Maggiora University of Arizona School of Pharmacy

Glen Kellogg Virginia Commonwealth University School of Pharmacy

David Wild University of Michigan Manufacturing Engineering Department

Gary Wiggins Indiana University Cheminformatics Department

David Bevan Virginia Tech Department of Biochemistry

Tudor Oprea University of New Mexico Department of Biocomputing

E-Learning Expert

Marty Siegel IU Informatics Department

Development Team -Consultant

TJ O’Donnell

Development Team

– Mesa Analytics & Computing, LLC

John MacCuish

Mitch Chapman

• Vendor Participants

OpenEye

Accusoft

EduSoft

Sunset Molecular

ChemAxon

Pedagogical Team

Requirements

Teaching or soon to be teaching courses requiring cheminformatics software

Provide design and module testing feedback

Provide student testing feedback

• eLearning perspective from Marty Siegel who will coordinate all the academic feedback

Vendor Participants

Requirements

All vendors are providing 2 year “free” licenses for their products for up to 10 university testing sites

Believe in “free” licensing of their software to universities

See this as an opportunity to increase the market share for their commercial products

Appreciate the advantage of their products being part of the virtual classroom at no additional cost to them.

Easy to work with th.

The Plan

Modular

Emphasis on concept learning via tool use

Topics – Dictated by Pedagogical Team and

Vendor software. e.g. Database, QSAR,etc.

Academic Setting

Course Compliant

Chemoinformatics in Drug Discovery, Oprea, Methods and Principles in Medicinal Chemistry(23), 2005 .

An Introduction to Chemoinformatics , Leach and Gillet,

Kluwer Academic Publishers, 2003.

Chemoinformatics ,Gasteiger and Engel,Wiley-

VCH,2003 .

eLearning

The delivery of a learning, training or education program by electronic means.

eLearning involves the use of a computer or electronic device (e.g. a mobile phone) in some way to provide training, educational or learning material.

eLearning Motivators for Academic

Institutions

Competition for Students

50% of Higher Education Students are >21 years of age according to National

Committee of Enquiry into Higher Education (2001) Corporate Universities and

Virtual Universities

Keeping apace with technology

“Unless we have an education system that can be continually creative and responsive to the environment around it - and that includes the technological environment - we will not have an education system fit for the 21st century.

It's too fast moving. “

Diana Laurillard head of the UK’s eLearning strategy unit

● http://education.guardian.co.uk/elearning/story/0,10577,1089683,00.html

Consistency in courses offered across multiple university sites and 24/7 availability of course materials

Electronic course management – grading and testing systems

eLearning Motivators for Industry

Global Economy

● staff located around the world, across several sites and time zones

Time to Market

● product-launch information needs to reach thousands of sales, support and management professionals who are decentralized -- perhaps around of the world --

Cost Savings

● save between 50% to 70% with replacement of instructor-led training with alternative electronic delivery http://www.forbes.com/specialsections/elearning/contents.htm

Acknowledgments

Development Team

TJ O’Donnell – O’Donnell Associates

Mitch Chapman

– Mesa Analytics & Computing, LLC

John MacCuish

– Mesa Analytics & Computing, LLC

Pedagogical Team

Tudor Oprea, University of New Mexico

Glen Kellogg, Virginia Commonwealth University

Gerry Maggiora, University of Arizona

Gary Wiggins, Indiana University

David Bevan, Virginia Technology

David Wild, University of Michigan

Marty Siegal, Indiana University

Vendor Participants

OpenEye Scientific Software

Accusoft

ChemAxon

Sunsetmolecular

EDUSoft

Mesa Analytics & Computing, L LC

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