da Silva CH - Search Results

1

In silico design and search for acetylcholinesterase inhibitors in Alzheimer's disease with a suitable pharmacokinetic profile and low toxicity.

da Silva VB, de Andrade P, Kawano DF, Morais PA, de Almeida JR, Carvalho I, Taft CA, da Silva CH. da Silva VB, et al. Among authors: da silva ch. Future Med Chem. 2011 Jun;3(8):947-60. doi: 10.4155/fmc.11.67. Future Med Chem. 2011. PMID: 21707398 Review.

2

Current topics in computer-aided drug design.

Taft CA, Da Silva VB, Da Silva CH. Taft CA, et al. Among authors: da silva ch, da silva vb. J Pharm Sci. 2008 Mar;97(3):1089-98. doi: 10.1002/jps.21293. J Pharm Sci. 2008. PMID: 18214973 Review.

3

Molecular dynamics, density functional, ADMET predictions, virtual screening, and molecular interaction field studies for identification and evaluation of novel potential CDK2 inhibitors in cancer therapy.

da Silva VB, Kawano DF, Gomes Ada S, Carvalho I, Taft CA, da Silva CH. da Silva VB, et al. Among authors: da silva ch. J Phys Chem A. 2008 Sep 25;112(38):8902-10. doi: 10.1021/jp8011969. Epub 2008 Aug 13. J Phys Chem A. 2008. PMID: 18698751

4

Psoralen and bergapten: in silico metabolism and toxicophoric analysis of drugs used to treat vitiligo.

da Silva VB, Kawano DF, Carvalho I, da Conceição EC, de Freitas O, da Silva CH. da Silva VB, et al. Among authors: da silva ch, da conceicao ec. J Pharm Pharm Sci. 2009;12(3):378-87. doi: 10.18433/j3w01d. J Pharm Pharm Sci. 2009. PMID: 20067712 Free article.

5

Computer-aided drug design and ADMET predictions for identification and evaluation of novel potential farnesyltransferase inhibitors in cancer therapy.

da Silva CH, da Silva VB, Resende J, Rodrigues PF, Bononi FC, Benevenuto CG, Taft CA. da Silva CH, et al. Among authors: da silva vb. J Mol Graph Model. 2010 Feb 26;28(6):513-23. doi: 10.1016/j.jmgm.2009.11.011. Epub 2009 Dec 4. J Mol Graph Model. 2010. PMID: 20074987

6

Toxicophoric and metabolic in silico evaluation of benzimidazole and phenylbenzamide derivatives with potential application as anticancer agents.

da Silva VB, Leopoldino AM, Taft CA, da Silva CH. da Silva VB, et al. Among authors: da silva ch. Drug Metab Lett. 2011 Dec;5(4):267-75. doi: 10.2174/187231211798472566. Drug Metab Lett. 2011. PMID: 22292473

7

3D descriptors calculation and conformational search to investigate potential bioactive conformations, with application in 3D-QSAR and virtual screening in drug design.

da Silva CHTP, Taft CA. da Silva CHTP, et al. J Biomol Struct Dyn. 2017 Oct;35(13):2966-2974. doi: 10.1080/07391102.2016.1237382. Epub 2016 Oct 14. J Biomol Struct Dyn. 2017. PMID: 27739336

8

The Aspergillus fumigatus Phosphoproteome Reveals Roles of High-Osmolarity Glycerol Mitogen-Activated Protein Kinases in Promoting Cell Wall Damage and Caspofungin Tolerance.

Mattos EC, Silva LP, Valero C, de Castro PA, Dos Reis TF, Ribeiro LFC, Marten MR, Silva-Rocha R, Westmann C, da Silva CHTP, Taft CA, Al-Furaiji N, Bromley M, Mortensen UH, Benz JP, Brown NA, Goldman GH. Mattos EC, et al. mBio. 2020 Feb 4;11(1):e02962-19. doi: 10.1128/mBio.02962-19. mBio. 2020. PMID: 32019798 Free PMC article.

9

Allosteric Modulators of Potential Targets Related to Alzheimer's Disease: a Review.

Silva GM, Barcelos MP, Poiani JGC, Hage-Melim LIDS, da Silva CHTP. Silva GM, et al. ChemMedChem. 2019 Aug 20;14(16):1467-1483. doi: 10.1002/cmdc.201900299. Epub 2019 Aug 1. ChemMedChem. 2019. PMID: 31310701 Review.

10

Synthesis, antitumor activity and in silico analyses of amino acid derivatives of artepillin C, drupanin and baccharin from green propolis.

Rodrigues DM, Portapilla GB, Silva GM, Duarte A, Rotta CG, da Silva CHTP, de Albuquerque S, Bastos JK, Campo VL. Rodrigues DM, et al. Bioorg Med Chem. 2021 Oct 1;47:116372. doi: 10.1016/j.bmc.2021.116372. Epub 2021 Aug 19. Bioorg Med Chem. 2021. PMID: 34454129

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