Prediction of Cyclodextrin Host-Guest Binding Through a Hybrid Support Vector Method

R.M. Carvalho; Iago G. L. Rosa; Priscila Vanessa Zabala Capriles Goliatt; Diego E. B. Gomes; Leonardo Goliatt

doi:10.1007/978-981-16-1543-6_30

ScienceGate Book Chapters

BOOK-CHAPTER

Prediction of Cyclodextrin Host-Guest Binding Through a Hybrid Support Vector Method

R.M. Carvalho Iago G. L. Rosa Priscila Vanessa Zabala Capriles Goliatt Diego E. B. Gomes Leonardo Goliatt

Year: 2021 Advances in intelligent systems and computing Pages: 309-317 Publisher: Springer Nature

DOI: 10.1007/978-981-16-1543-6_30

Get Full-Text PDF Get Analytical Report

Keywords:

Cyclodextrin Support vector machine In silico Host (biology) Molecule Computer science Chemistry Machine learning Biology Organic chemistry Biochemistry

Metrics

Cited By

1.54

FWCI (Field Weighted Citation Impact)

Refs

0.84

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Drug Solubulity and Delivery Systems

Life Sciences → Pharmacology, Toxicology and Pharmaceutics → Pharmaceutical Science

Protein purification and stability

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Prediction of Cyclodextrin Host-Guest Binding Through a Hybrid Support Vector Method

Metrics

Citation History

Topics

Related Documents

Gaussian processes regression for cyclodextrin host-guest binding prediction

1 : 2 HOST-GUEST BINDING BY DOUBLE γ-CYCLODEXTRIN

Fully collaborative guest binding by a double cyclodextrin host

Tailoring Polymeric Hydrogels through Cyclodextrin Host–Guest Complexation

Tuning the Catalytic Activity of Cyclodextrin-Modified Palladium Nanoparticles through Host−Guest Binding Interactions