High-Throughput Phenotypic Screening and Machine Learning Methods Enabled the Selection of Broad-Spectrum Low-Toxicity Antitrypanosomatidic Agents

AuthID
 P-00Z-G2D
22
Author(s)
Linciano, P
·
Quotadamo, A
·
Luciani, R
·
Santucci, M
·
Zorn, KM
·
Foil, DH
·
Lane, TR
·
da Silva, AC
·
Moraes, CB
·
[+2]·
Mueller, W
·
Tonelli, M
·
Ferrari, S
·
Venturelli, A
·
Gul, S
·
Kuzikov, M
·
Ellinger, B
·
Reinshagen, J
·
Ekins, S
·
Costi, MP
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Document Type
Article
Year published
2023
Published
in JOURNAL OF MEDICINAL CHEMISTRY, ISSN: 0022-2623
Volume: 66, Issue: 22, Pages: 15230-15255 (26)
Indexing
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Scopus®
Crossref®3
Pubmed®
Google Scholar®
Publication Identifiers
Pubmed: 37921561
SCOPUS: 2-s2.0-85178227560
Wos: WOS:001141475400001
Source Identifiers
ISSN: 0022-2623
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All authors
Name Order Name   Name Order Name   Name Order Name
1 Linciano, P;   2 Quotadamo, A;   3 Luciani, R;
4 Santucci, M;   5 Zorn, KM;   6 Foil, DH;
7 Lane, TR;   8 da Silva, AC;   9 Santarem, N;
10 Moraes, CB;   11 Freitas, L Jr;   12 Wittig, U;
13 Mueller, W;   14 Tonelli, M;   15 Ferrari, S;
16 Venturelli, A;   17 Gul, S;   18 Kuzikov, M;
19 Ellinger, B;   20 Reinshagen, J;   21 Ekins, S;
22 Costi, MP;    

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