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Samarjeet Prasad

Researcher at National Institutes of Health

Publications -  14
Citations -  2353

Samarjeet Prasad is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 6, co-authored 10 publications receiving 1886 citations. Previous affiliations of Samarjeet Prasad include Johns Hopkins University & Johns Hopkins University School of Medicine.

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A draft map of the human proteome

Min-Sik Kim, +73 more
- 29 May 2014 - 
TL;DR: A draft map of the human proteome is presented using high-resolution Fourier-transform mass spectrometry to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-c coding RNAs and upstream open reading frames.
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Best Practices for Foundations in Molecular Simulations [Article v1.0].

TL;DR: This document provides a starting point for approaching molecular simulations, guiding beginning practitioners to what issues they need to know about before and while starting their first simulations, and why those issues are so critical.
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Best Practices for Alchemical Free Energy Calculations [Article v1.0].

TL;DR: In this paper, the authors review current best practices for several popular application domains of alchemical free energy calculations performed with equilibrium simulations, in particular relative and absolute small molecule binding energy calculations to biomolecular targets.
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Best Practices for Alchemical Free Energy Calculations

TL;DR: Current best practices for several popular application domains of alchemical free energy calculations, including relative and absolute small molecule binding free energy Calculations to biomolecular targets are reviewed.
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Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge

TL;DR: This work uses predictions of the distribution coefficients between water and cyclohexane from the SAMPL5 challenge to estimate the hydrophobicity of different explicit solvent simulation techniques, and compares pure molecular mechanics with quantum-mechanical calculations based on QM/MM schemes that treat the solvent at the MM level.