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Annual Reports in Computational Chemistry David Spellmeyer (Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA)

Annual Reports in Computational Chemistry By David Spellmeyer (Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA)

Summary

Provides critical reviews of important topics in computational chemistry as applied to all chemical disciplines. This title covers topics that include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings.

Annual Reports in Computational Chemistry Summary

Annual Reports in Computational Chemistry: Volume 1 by David Spellmeyer (Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA)

Annual Reports in Computational Chemistry is a new periodical providing timely and critical reviews of important topics in computational chemistry as applied to all chemical disciplines. Topics covered include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings. Each volume is organized into (thematic) sections with contributions written by experts. Focusing on the most recent literature and advances in the field, each article covers a specific topic of importance to computational chemists. Annual Reports in Computational Chemistry is a 'must' for researchers and students wishing to stay up-to-date on current developments in computational chemistry.

About David Spellmeyer (Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA)

David Spellmeyer is a Biotechnology Executive and Entrepreneur with over 30 years of broad experience in the life sciences industry. He is Principal at Interlaken Associates where he works closely with both early-stage companies and venture capital firms to build and lead strong pre-clinical R&D scientific teams focused on establishing scientific proof-of-concept for novel innovations. David is also an adjunct Associate Professor of Pharmaceutical Chemistry at the University of California San Francisco (UCSF). He has been actively involved in the entrepreneurship and innovation ecosystem supporting founders, students, post-docs, and faculty, serving as a mentor in programs at UCSF, California Life Sciences Institutes FAST programs, California State Universitys CSUPERB, UC Davis MentorNet, and as a reviewer for NIH SBIR/STTR Study Sections. David has recently served as CSO at Circle Pharma, an Executive-in-Residence at Pandect Biosciences, head of Quality for a diagnostics company, and an executive advisor for several startups. Prior to building Interlaken Associates, he held positions at DuPont Pharma (BMS), Chiron (Novartis), Signature BioScience, Nodality, and IBM Research. David works very closely with business development teams and has completed over 20 non-dilutive strategic corporate partnerships, several mergers, acquisitions, and joint ventures and participated in several rounds of venture financing. He received his BS in computer science and chemistry from Purdue University and his PhD in theoretical organic chemistry from UCLA and completed his post-doctoral training in pharmaceutical chemistry at UCSF.

Table of Contents

Quantum Mechanical Methods (T.D. Crawford). Molecular Modelling Methods (C. Simmerling). Advances in QSAR/QSPR (Y. Martin). Applications of Computational Methods (H.Carlson). Chemical Education (T. Zielinski). Emerging Science (R. Wheeler).

Additional information

NPB9780444519160
9780444519160
0444519165
Annual Reports in Computational Chemistry: Volume 1 by David Spellmeyer (Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA)
New
Hardback
Elsevier Science & Technology
2005-04-12
263
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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