找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Simulations in Molecular Biology; Hiqmet Kamberaj Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

[復(fù)制鏈接]
樓主: GLOAT
11#
發(fā)表于 2025-3-23 12:56:50 | 只看該作者
Sectionally Complemented LatticesThis chapter introduces the normal mode analysis of a protein, which is associated with the energy minimisation.
12#
發(fā)表于 2025-3-23 15:56:02 | 只看該作者
The Congruences of a Finite LatticeThis chapter describes how to run standard MD simulations of a biological system in explicit solvent using different statistical ensembles and numerical integrators.
13#
發(fā)表于 2025-3-23 20:47:48 | 只看該作者
The Congruences of a Finite LatticeThis chapter describes the principal components analysis of biological systems in explicit solvent and the stability of the principal components analysis by comparing the quasi-harmonic modes of different simulation trajectories of the same system.
14#
發(fā)表于 2025-3-23 22:59:24 | 只看該作者
Quantum Mechanics Computer Simulations,In this chapter, we introduce the quantum mechanics molecular models and quantum mechanics molecular dynamics simulations of molecules and biomolecular systems. Besides, the numerical aspects of the non-relativistic electronic structure of molecular systems will be discussed.
15#
發(fā)表于 2025-3-24 02:53:26 | 只看該作者
Basis Set Functions,In this chapter, we discuss the basis set functions for standard molecular quantum mechanics calculations. Furthermore, the basis sets for quantum periodic systems, such as solids and metals, will be described.
16#
發(fā)表于 2025-3-24 09:42:06 | 只看該作者
Semi-empirical Quantum Mechanics Computer Simulations,In this chapter, we focus on the semi-empirical quantum mechanics approaches and their use in computer simulations.
17#
發(fā)表于 2025-3-24 12:36:35 | 只看該作者
Machine Learning Quantum Mechanics Computer Simulations,This chapter introduces the machine learning quantum mechanics methods and their use in computer simulations. In particular, the focus is on the use of machine learning approach in predicting the potential electronic energy surface and its gradient for QM molecular dynamics simulations.
18#
發(fā)表于 2025-3-24 18:20:39 | 只看該作者
Coarse-Grain Modelling Strategies,In this chapter, the computational coarse-grain modelling strategies are discussed. Besides, different coarse-grained models (CGMs) will be described.
19#
發(fā)表于 2025-3-24 22:45:22 | 只看該作者
,Implementation of?Molecular Dynamics in?Simulations,In this chapter, we will briefly describe the practical aspects of molecular dynamics simulations, such as designing the constraints, periodic boundary conditions, spherical cutoffs, treatment of the long-range interactions (in particular, electrostatic interactions), and identifying the equilibrium states of the simulations.
20#
發(fā)表于 2025-3-25 02:42:49 | 只看該作者
Python Interactive GUI for CHARMM Software Package,In this chapter, we will briefly describe a Python interactive graphical user interface (GUI) for CHARMM package for performing MD simulations of a biological molecular system and standard analysis of . data produced from the simulations.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-21 04:35
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
银川市| 塔河县| 洪雅县| 应城市| 永胜县| 浪卡子县| 双牌县| 滨海县| 沙雅县| 盘山县| 桐城市| 永宁县| 宜丰县| 错那县| 同江市| 麻阳| 扬中市| 融水| 南城县| 庄浪县| 资中县| 兴隆县| 云和县| 韶关市| 沁水县| 宁德市| 盐边县| 同德县| 肇州县| 太白县| 巴彦县| 监利县| 广东省| 南充市| 会理县| 宜君县| 广东省| 安阳市| 普宁市| 渑池县| 凤台县|