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Prediction of antischistosomal small molecules using machine learning in the era of big data

Prediction of antischistosomal small molecules using machine learning in the era of big data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2558452126

Prediction of antischistosomal small molecules using machine learning in the era of big data

About this item

Full title

Prediction of antischistosomal small molecules using machine learning in the era of big data

Publisher

Cham: Springer International Publishing

Journal title

Molecular diversity, 2022-06, Vol.26 (3), p.1597-1607

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Schistosomiasis is a neglected tropical disease caused by helminths of the Schistosoma genus. Despite its high morbidity and socio-economic burden, therapeutics are just a handful with praziquantel being the main drug. Praziquantel is an old drug registered for human use in 1982 and has since been administered en masse for chemotherapy, risking the...

Alternative Titles

Full title

Prediction of antischistosomal small molecules using machine learning in the era of big data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2558452126

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2558452126

Other Identifiers

ISSN

1381-1991

E-ISSN

1573-501X

DOI

10.1007/s11030-021-10288-2

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