Optimization and comparison of statistical tools for the prediction of multicomponent forms of a molecule: the antiretroviral nevirapine as a case study-Reference-Cited by-同舟云学术

Optimization and comparison of statistical tools for the prediction of multicomponent forms of a molecule: the antiretroviral nevirapine as a case study

Published:2020 Issue:43 Volume:22 Page:7460-7474
ISSN:1466-8033
Container-title:CrystEngComm
language:en
Short-container-title:CrystEngComm

Author:

Nunes Costa Rogeria¹²³⁴^ORCID,Choquesillo-Lazarte Duane⁵⁶⁷⁸⁹^ORCID,Cuffini Silvia Lucía¹²³⁴,Pidcock Elna¹⁰¹¹¹²,Infantes Lourdes¹³¹⁴¹⁵⁹^ORCID

Affiliation:

1. Instituto de Ciência e Tecnologia

2. Universidade Federal de São Paulo

3. 12331-280 São José dos Campos

4. Brazil

5. Laboratorio de Estudios Cristalográficos

6. IACT

7. CSIC-Universidad de Granada

8. Granada

9. Spain

10. Cambridge Crystallographic Data Centre

11. Cambridge

12. UK

13. Instituto de Química Fisica Rocasolano

14. Consejo Superior de Investigaciones Científicas

15. Madrid

Abstract

A methodology is proposed to assess the propensity to obtain multicomponent forms of an API based on the combination of modified statistical analytical tools to order the possible co-formers in a ranking index.

Funder

Consejo Superior de Investigaciones Científicas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Ministerio de Ciencia, Innovación y Universidades

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Materials Science,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/CE/D0CE00948B

Reference49 articles.

1. Crystal engineering, Where from? Where to?