Literature DB >> 21243466

First-principles-based multiscale, multiparadigm molecular mechanics and dynamics methods for describing complex chemical processes.

Andres Jaramillo-Botero1, Robert Nielsen, Ravi Abrol, Julius Su, Tod Pascal, Jonathan Mueller, William A Goddard.   

Abstract

We expect that systematic and seamless computational upscaling and downscaling for modeling, predicting, or optimizing material and system properties and behavior with atomistic resolution will eventually be sufficiently accurate and practical that it will transform the mode of development in the materials, chemical, catalysis, and Pharma industries. However, despite truly dramatic progress in methods, software, and hardware, this goal remains elusive, particularly for systems that exhibit inherently complex chemistry under normal or extreme conditions of temperature, pressure, radiation, and others. We describe here some of the significant progress towards solving these problems via a general multiscale, multiparadigm strategy based on first-principles quantum mechanics (QM), and the development of breakthrough methods for treating reaction processes, excited electronic states, and weak bonding effects on the conformational dynamics of large-scale molecular systems. These methods have resulted directly from filling in the physical and chemical gaps in existing theoretical and computational models, within the multiscale, multiparadigm strategy. To illustrate the procedure we demonstrate the application and transferability of such methods on an ample set of challenging problems that span multiple fields, system length- and timescales, and that lay beyond the realm of existing computational or, in some case, experimental approaches, including understanding the solvation effects on the reactivity of organic and organometallic structures, predicting transmembrane protein structures, understanding carbon nanotube nucleation and growth, understanding the effects of electronic excitations in materials subjected to extreme conditions of temperature and pressure, following the dynamics and energetics of long-term conformational evolution of DNA macromolecules, and predicting the long-term mechanisms involved in enhancing the mechanical response of polymer-based hydrogels.

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Year:  2012        PMID: 21243466     DOI: 10.1007/128_2010_114

Source DB:  PubMed          Journal:  Top Curr Chem        ISSN: 0340-1022


  2 in total

1.  Multi-Scale Low-Entropy Method for Optimizing the Processing Parameters during Automated Fiber Placement.

Authors:  Zhenyu Han; Shouzheng Sun; Hongya Fu; Yunzhong Fu
Journal:  Materials (Basel)       Date:  2017-09-03       Impact factor: 3.623

2.  Programmable siRNA pro-drugs that activate RNAi activity in response to specific cellular RNA biomarkers.

Authors:  Si-Ping Han; Lisa Scherer; Matt Gethers; Ane M Salvador; Marwa Ben Haj Salah; Rebecca Mancusi; Sahil Sagar; Robin Hu; Julia DeRogatis; Ya-Huei Kuo; Guido Marcucci; Saumya Das; John J Rossi; William A Goddard
Journal:  Mol Ther Nucleic Acids       Date:  2022-01-03       Impact factor: 10.183

  2 in total

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