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Items: 1 to 20 of 86

1.

Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling.

Pratiwi R, Prachayasittikul V, Prachayasittikul S, Nantasenamat C.

EXCLI J. 2019 Apr 5;18:207-222. doi: 10.17179/excli2019-1274. eCollection 2019.

2.

TargetAntiAngio: A Sequence-Based Tool for the Prediction and Analysis of Anti-Angiogenic Peptides.

Laengsri V, Nantasenamat C, Schaduangrat N, Nuchnoi P, Prachayasittikul V, Shoombuatong W.

Int J Mol Sci. 2019 Jun 17;20(12). pii: E2950. doi: 10.3390/ijms20122950.

3.

THPep: A machine learning-based approach for predicting tumor homing peptides.

Shoombuatong W, Schaduangrat N, Pratiwi R, Nantasenamat C.

Comput Biol Chem. 2019 Jun;80:441-451. doi: 10.1016/j.compbiolchem.2019.05.008. Epub 2019 May 24.

PMID:
31151025
4.

HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage.

Hongjaisee S, Nantasenamat C, Carraway TS, Shoombuatong W.

Comput Biol Chem. 2019 Jun;80:419-432. doi: 10.1016/j.compbiolchem.2019.05.006. Epub 2019 May 20.

PMID:
31146118
5.

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides.

Schaduangrat N, Nantasenamat C, Prachayasittikul V, Shoombuatong W.

Molecules. 2019 May 22;24(10). pii: E1973. doi: 10.3390/molecules24101973.

6.

Multidisciplinary approaches for targeting the secretase protein family as a therapeutic route for Alzheimer's disease.

Schaduangrat N, Prachayasittikul V, Choomwattana S, Wongchitrat P, Phopin K, Suwanjang W, Malik AA, Vincent B, Nantasenamat C.

Med Res Rev. 2019 Jan 9. doi: 10.1002/med.21563. [Epub ahead of print] Review.

PMID:
30628099
7.

Synthesis, Plasmodium falciparum Inhibitory Activity, Cytotoxicity and Solubility of N2,N4-Disubstituted Quinazoline-2,4-diamines.

Pobsuk N, Suphakun P, Hannongbua S, Nantasenamat C, Choowongkomon K, Gleeson MP.

Med Chem. 2018 Dec 18. doi: 10.2174/1573406415666181219100307. [Epub ahead of print]

PMID:
30569870
8.

miR-130a and miR-27b Enhance Osteogenesis in Human Bone Marrow Mesenchymal Stem Cells via Specific Down-Regulation of Peroxisome Proliferator-Activated Receptor γ.

Seenprachawong K, Tawornsawutruk T, Nantasenamat C, Nuchnoi P, Hongeng S, Supokawej A.

Front Genet. 2018 Nov 14;9:543. doi: 10.3389/fgene.2018.00543. eCollection 2018.

9.

Rational Design of Colchicine Derivatives as anti-HIV Agents via QSAR and Molecular Docking.

Worachartcheewan A, Songtawee N, Siriwong S, Prachayasittikul S, Nantasenamat C, Prachayasittikul V.

Med Chem. 2019;15(4):328-340. doi: 10.2174/1573406414666180924163756.

PMID:
30251609
10.

Unraveling the bioactivity of anticancer peptides as deduced from machine learning.

Shoombuatong W, Schaduangrat N, Nantasenamat C.

EXCLI J. 2018 Jul 25;17:734-752. doi: 10.17179/excli2018-1447. eCollection 2018. Review.

11.

Towards understanding aromatase inhibitory activity via QSAR modeling.

Shoombuatong W, Schaduangrat N, Nantasenamat C.

EXCLI J. 2018 Jul 20;17:688-708. doi: 10.17179/excli2018-1417. eCollection 2018. Review.

12.

Tackling the Antibiotic Resistance Caused by Class A β-Lactamases through the Use of β-Lactamase Inhibitory Protein.

Eiamphungporn W, Schaduangrat N, Malik AA, Nantasenamat C.

Int J Mol Sci. 2018 Jul 30;19(8). pii: E2222. doi: 10.3390/ijms19082222. Review.

13.

PAAP: a web server for predicting antihypertensive activity of peptides.

Win TS, Schaduangrat N, Prachayasittikul V, Nantasenamat C, Shoombuatong W.

Future Med Chem. 2018 Aug 1;10(15):1749-1767. doi: 10.4155/fmc-2017-0300. Epub 2018 Jul 24.

PMID:
30039980
14.

Oxidative responses and defense mechanism of hyperpigmented P. aeruginosa as characterized by proteomics and metabolomics.

Thippakorn C, Isarankura-Na-Ayudhya C, Pannengpetch S, Isarankura-Na-Ayudhya P, Schaduangrat N, Nantasenamat C, Prachayasittikul V.

EXCLI J. 2018 Jun 13;17:544-562. doi: 10.17179/excli2018-1238. eCollection 2018.

15.

Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy.

Thippakorn C, Schaduangrat N, Nantasenamat C.

EXCLI J. 2018 Mar 26;17:312-330. doi: 10.17179/excli2018-1150. eCollection 2018. Review.

16.

Data mining for the identification of metabolic syndrome status.

Worachartcheewan A, Schaduangrat N, Prachayasittikul V, Nantasenamat C.

EXCLI J. 2018 Jan 10;17:72-88. doi: 10.17179/excli2017-911. eCollection 2018. Review.

17.

Quantitative Structure-activity Relationship Study of Betulinic Acid Derivatives Against HIV using SMILES-based Descriptors.

Worachartcheewan A, Toropova AP, Toropov AA, Siriwong S, Prapojanasomboon J, Prachayasittikul V, Nantasenamat C.

Curr Comput Aided Drug Des. 2018;14(2):152-159. doi: 10.2174/1573409914666180112094156.

PMID:
29332601
18.

The MicroRNA Interaction Network of Lipid Diseases.

Kandhro AH, Shoombuatong W, Nantasenamat C, Prachayasittikul V, Nuchnoi P.

Front Genet. 2017 Sep 22;8:116. doi: 10.3389/fgene.2017.00116. eCollection 2017.

19.

Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides.

Li H, Schaduangrat N, Simeon S, Nantasenamat C.

Mol Biosyst. 2017 Oct 24;13(11):2310-2322. doi: 10.1039/c7mb00219j.

PMID:
28880325
20.

Aromatase inhibitory activity of 1,4-naphthoquinone derivatives and QSAR study.

Prachayasittikul V, Pingaew R, Worachartcheewan A, Sitthimonchai S, Nantasenamat C, Prachayasittikul S, Ruchirawat S, Prachayasittikul V.

EXCLI J. 2017 May 16;16:714-726. doi: 10.17179/excli2017-309. eCollection 2017.

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