Vijay Pande, PhD

San Francisco Bay Area Contact Info
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Dr. Pande is a General Partner at Andreessen Horowitz ("a16z") and the founding General…

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  • Andreessen Horowitz

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Patents

  • Method for rapidly approximating similarities

    Issued US US 8706427 B2

    Methods and algorithms are presented that implement linear algebraic techniques for rapidly estimating chemical similarities for several popular measures. The methods of the present invention reflect source similarity measures for both Tanimoto calculation and rank ordering. After a precalculation step on a database, the methods of the present invention afford several orders of magnitude of speedup in database screening. The present invention also provides an asymptotic speedup for large…

    Methods and algorithms are presented that implement linear algebraic techniques for rapidly estimating chemical similarities for several popular measures. The methods of the present invention reflect source similarity measures for both Tanimoto calculation and rank ordering. After a precalculation step on a database, the methods of the present invention afford several orders of magnitude of speedup in database screening. The present invention also provides an asymptotic speedup for large similarity matrix construction problems, reducing the number of conventional slow similarity evaluations required from quadratic to linear scaling.

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  • Accelerated molecular dynamics of proteins and other biomolecules

    Issued US WO 2009151696 A3

    Embodiments herein relate to the field of computational biochemistry, in particular to accelerated molecular dynamics of proteins and other biomolecules. Various embodiments disclosed herein include methods, systems, and apparatus for determining the state, for example the kinetics or thermodynamics, of a biomolecule system. In some embodiments, the methods include partitioning the system's degrees of freedom into a subspace and a subspace complement according to frequency using Normal Mode…

    Embodiments herein relate to the field of computational biochemistry, in particular to accelerated molecular dynamics of proteins and other biomolecules. Various embodiments disclosed herein include methods, systems, and apparatus for determining the state, for example the kinetics or thermodynamics, of a biomolecule system. In some embodiments, the methods include partitioning the system's degrees of freedom into a subspace and a subspace complement according to frequency using Normal Mode Analysis (NMA), determining a harmonic approximation to the system around an initial equilibrium structure using a Mass Reweighted Hessian (MRH) of a biomolecular force field, using the partitioning to construct a damping matrix for the Langevin equation that overdamps and propagates high frequency modes using Brownian dynamics, propagating the low frequency modes using full Langevin dynamics, and accelerating the Brownian dynamics on the high frequency modes using an energy minimization. A coarse-grained normal mode analysis (CNMA) is also presented that enables application of this approach to very large proteins and long timescales.

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Honors & Awards

  • Delano Award for Computational Biosciences

    American Society for Biochemistry and Molecular Biology

  • Mentoring Award, Stanford University Postdoctoral Association

    Stanford University Postdoctoral Association

    “In recognition of his excellent mentoring of postdocs."

  • Michael and Kate Bárány Award for Young Investigators

    Biophysical Society

  • Thomas Kuhn Paradigm Shift Award

    American Chemical Society

  • Fellow

    American Physical Society

  • Netxplorateur of the Year

    Netxplorateur

  • Guinness World Record, Folding@home First to a Petaflop

    Guinness

  • Irving Sigal Young Investigator Award

    Protein Society

  • Technovators Award

    Global Indus

  • TechReview TR 100

    MIT TechReview

  • National Science Foundation Graduate Fellowship

    National Science Foundation

  • Fourth place, Westinghouse Science Talent Search Scholarship

    Westinghouse Science

Languages

  • English

    Native or bilingual proficiency

  • French

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