Gustavo H. G. Trossini - Search Results

Year	Number of Results
2008	1
2009	1
2010	1
2012	1
2013	1
2014	4
2015	5
2016	7
2017	9
2018	6
2019	4
2020	3
2021	4
2022	2
2023	3
2024	0

1

Advances and Challenges in Drug Design of PPARδ Ligands.

Maltarollo VG, Kronenberger T, Windshugel B, Wrenger C, Trossini GHG, Honorio KM. Maltarollo VG, et al. Curr Drug Targets. 2018;19(2):144-154. doi: 10.2174/1389450118666170414113159. Curr Drug Targets. 2018. PMID: 28413978 Review.

2

Insights into Newly Approved Drugs from a Medicinal Chemistry Perspective.

Lima EJC, Gomes RA, Fornari E, da Silva Emery F, Trossini GHG. Lima EJC, et al. Mini Rev Med Chem. 2021;21(16):2227-2248. doi: 10.2174/1389557521666210226145328. Mini Rev Med Chem. 2021. PMID: 33634755 Review.

3

Use of machine learning approaches for novel drug discovery.

Lima AN, Philot EA, Trossini GH, Scott LP, Maltarollo VG, Honorio KM. Lima AN, et al. Expert Opin Drug Discov. 2016;11(3):225-39. doi: 10.1517/17460441.2016.1146250. Expert Opin Drug Discov. 2016. PMID: 26814169 Review.

4

Fragment-based drug discovery as alternative strategy to the drug development for neglected diseases.

Mello JDFRE, Gomes RA, Vital-Fujii DG, Ferreira GM, Trossini GHG. Mello JDFRE, et al. Chem Biol Drug Des. 2017 Dec;90(6):1067-1078. doi: 10.1111/cbdd.13030. Epub 2017 Jul 3. Chem Biol Drug Des. 2017. PMID: 28547936 Review.

5

New tuberculostatic agents targeting nucleic acid biosynthesis: drug design using QSAR approaches.

Bueno RV, Braga RC, Segretti ND, Ferreira EI, Trossini GH, Andrade CH. Bueno RV, et al. Among authors: trossini gh. Curr Pharm Des. 2014;20(27):4474-85. doi: 10.2174/1381612819666131118170238. Curr Pharm Des. 2014. PMID: 24245758 Review.

6

The Role of QSAR and Virtual Screening Studies in Type 2 Diabetes Drug Discovery.

Pantaleao SQ, Fujii DGV, Maltarollo VG, da C Silva D, Trossini GHG, Weber KC, Scott LPB, Honorio KM. Pantaleao SQ, et al. Among authors: trossini ghg. Med Chem. 2017;13(8):706-720. doi: 10.2174/1573406413666170522152102. Med Chem. 2017. PMID: 28530546 Review.

7

Convergent QSAR Models for the Prediction of Cruzain Inhibitors.

Gonçalves RB, Ferraz WR, Calil RL, Scotti MT, Trossini GHG. Gonçalves RB, et al. ACS Omega. 2023 Oct 13;8(42):38961-38982. doi: 10.1021/acsomega.3c03376. eCollection 2023 Oct 24. ACS Omega. 2023. PMID: 37901514 Free PMC article.

8

Aporphine and isoquinoline derivatives block glioblastoma cell stemness and enhance temozolomide cytotoxicity.

Rodrigues-Junior DM, Raminelli C, Hassanie H, Trossini GHG, Perecim GP, Caja L, Moustakas A, Vettore AL. Rodrigues-Junior DM, et al. Sci Rep. 2022 Dec 7;12(1):21113. doi: 10.1038/s41598-022-25534-2. Sci Rep. 2022. PMID: 36477472 Free PMC article.

9

The survey of the use of QSAR methods to determine intestinal absorption and oral bioavailability during drug design.

Silva FT, Trossini GH. Silva FT, et al. Among authors: trossini gh. Med Chem. 2014;10(5):441-8. doi: 10.2174/1573406410666140415122115. Med Chem. 2014. PMID: 24730584 Review.

10

Targeting the Plasmodium falciparum plasmepsin V by ligand-based virtual screening.

Meissner KA, Kronenberger T, Maltarollo VG, Trossini GHG, Wrenger C. Meissner KA, et al. Chem Biol Drug Des. 2019 Mar;93(3):300-312. doi: 10.1111/cbdd.13416. Epub 2018 Nov 1. Chem Biol Drug Des. 2019. PMID: 30320974

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