Electron density learning of non-covalent systems-Reference-Cited by-同舟云学术

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Electron density learning of non-covalent systems

Published:2019 Issue:41 Volume:10 Page:9424-9432
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Fabrizio Alberto¹²³⁴⁵,Grisafi Andrea⁶⁷³⁸⁵,Meyer Benjamin¹²³⁴⁵,Ceriotti Michele⁶⁷³⁸⁵^ORCID,Corminboeuf Clemence¹²³⁴⁵^ORCID

Affiliation:

1. Laboratory for Computational Molecular Design

2. Institute of Chemical Sciences and Engineering

3. École Polytechnique Fédérale de Lausanne

4. CH-1015 Lausanne

5. Switzerland

6. Laboratory of Computational Science and Modeling

7. IMX

8. 1015 Lausanne

Abstract

Machine learning model of the electron densities for analyzing non-covalent interaction patterns in peptides.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

École Polytechnique Fédérale de Lausanne

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/SC/C9SC02696G

Reference94 articles.

1. A. Stone , The Theory of Intermolecular Forces , Oxford University Press , 2013

2. Theoretical studies of van der Waals molecules and intermolecular forces

3. van der Waais Molecules II: Introduction

4. van der Waals Molecules III: Introduction

5. Introduction: Noncovalent Interactions

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