378 related articles for article (PubMed ID: 33687591)
1. A novel artificial intelligence protocol to investigate potential leads for diabetes mellitus.
Gong JN; Zhao L; Chen G; Chen X; Chen ZD; Chen CY
Mol Divers; 2021 Aug; 25(3):1375-1393. PubMed ID: 33687591
[TBL] [Abstract][Full Text] [Related]
2. Discovery of Novel DPP-IV Inhibitors as Potential Candidates for the Treatment of Type 2
Musoev A; Numonov S; You Z; Gao H
Molecules; 2019 Aug; 24(16):. PubMed ID: 31394858
[TBL] [Abstract][Full Text] [Related]
3. Virtual screening of dipeptidyl peptidase-4 inhibitors using quantitative structure-activity relationship-based artificial intelligence and molecular docking of hit compounds.
Hermansyah O; Bustamam A; Yanuar A
Comput Biol Chem; 2021 Dec; 95():107597. PubMed ID: 34800858
[TBL] [Abstract][Full Text] [Related]
4. Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms.
He X; Zhao L; Zhong W; Chen HY; Shan X; Tang N; Chen CY
Biomed Pharmacother; 2020 Sep; 129():110360. PubMed ID: 32559623
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
Gupta R; Srivastava D; Sahu M; Tiwari S; Ambasta RK; Kumar P
Mol Divers; 2021 Aug; 25(3):1315-1360. PubMed ID: 33844136
[TBL] [Abstract][Full Text] [Related]
6. More effective DPP4 inhibitors as antidiabetics based on sitagliptin applied QSAR and clinical methods.
Buiu C; Avram S; Duda-Seiman D; Milac AL; Duda-Seiman C; Pacureanu L; Borcan F
Curr Comput Aided Drug Des; 2014; 10(3):237-49. PubMed ID: 25756669
[TBL] [Abstract][Full Text] [Related]
7. Identification of levomenthol derivatives as potential dipeptidyl peptidase-4 inhibitors: a comparative study with gliptins.
Alade AA; Ahmed SA; Mujwar S; Kikiowo B; Akinnusi PA; Olubode SO; Olufemi OM; Ohilebo AA
J Biomol Struct Dyn; 2024 May; 42(8):4029-4047. PubMed ID: 37261796
[TBL] [Abstract][Full Text] [Related]
8. Navigating the chemical space of dipeptidyl peptidase-4 inhibitors.
Shoombuatong W; Prachayasittikul V; Anuwongcharoen N; Songtawee N; Monnor T; Prachayasittikul S; Prachayasittikul V; Nantasenamat C
Drug Des Devel Ther; 2015; 9():4515-49. PubMed ID: 26309399
[TBL] [Abstract][Full Text] [Related]
9. Finding a Potential Dipeptidyl Peptidase-4 (DPP-4) Inhibitor for Type-2 Diabetes Treatment Based on Molecular Docking, Pharmacophore Generation, and Molecular Dynamics Simulation.
Meduru H; Wang YT; Tsai JJ; Chen YC
Int J Mol Sci; 2016 Jun; 17(6):. PubMed ID: 27304951
[TBL] [Abstract][Full Text] [Related]
10. Structure-based virtual screening of dipeptidyl peptidase 4 inhibitors and their in vitro analysis.
Rahman SU; Ali HS; Jafari B; Zaib S; Hameed A; Al-Kahraman YMSA; Langer P; Iqbal J
Comput Biol Chem; 2021 Apr; 91():107326. PubMed ID: 32739275
[TBL] [Abstract][Full Text] [Related]
11. Integrated Protocol to Design Potential Inhibitors of Dipeptidyl Peptidase- 4 (DPP-4).
Pantaleão SQ; Philot EA; de Oliveira Almeida M; Lima AN; de Sairre MI; Scott AL; Honorio KM
Curr Top Med Chem; 2020; 20(3):209-226. PubMed ID: 31878857
[TBL] [Abstract][Full Text] [Related]
12. New Molecular Insights into the Inhibition of Dipeptidyl Peptidase-4 by Natural Cyclic Peptide Oxytocin.
Chittepu VCSR; Kalhotra P; Osorio-Gallardo T; Jiménez-Martínez C; Torre RRR; Gallardo-Velazquez T; Osorio-Revilla G
Molecules; 2019 Oct; 24(21):. PubMed ID: 31661941
[TBL] [Abstract][Full Text] [Related]
13. Exploration of DPP-IV inhibitors with a novel scaffold by multistep in silico screening.
Uchida T; Wakasugi M; Kitamura T; Yamamoto T; Asakura M; Fujiwara R; Itoh T; Fujii H; Hirono S
J Mol Graph Model; 2018 Jan; 79():254-263. PubMed ID: 29274572
[TBL] [Abstract][Full Text] [Related]
14. Design, synthesis and anti-diabetic activity of triazolotriazine derivatives as dipeptidyl peptidase-4 (DPP-4) inhibitors.
Patel BD; Bhadada SV; Ghate MD
Bioorg Chem; 2017 Jun; 72():345-358. PubMed ID: 28302310
[TBL] [Abstract][Full Text] [Related]
15. Discovery of dipeptidyl peptidase 4 inhibitory peptides from Largemouth bass (Micropterus salmoides) by a comprehensive approach.
Wang K; Yang X; Lou W; Zhang X
Bioorg Chem; 2020 Dec; 105():104432. PubMed ID: 33157343
[TBL] [Abstract][Full Text] [Related]
16. Rational design and synthesis of new tetralin-sulfonamide derivatives as potent anti-diabetics and DPP-4 inhibitors: 2D & 3D QSAR, in vivo radiolabeling and bio distribution studies.
Abd El-Karim SS; Anwar MM; Syam YM; Nael MA; Ali HF; Motaleb MA
Bioorg Chem; 2018 Dec; 81():481-493. PubMed ID: 30243239
[TBL] [Abstract][Full Text] [Related]
17. Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.
Wu Z; Jiang D; Hsieh CY; Chen G; Liao B; Cao D; Hou T
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33866354
[TBL] [Abstract][Full Text] [Related]
18. Hybrid docking-QSAR studies of DPP-IV inhibition activities of a series of aminomethyl-piperidones.
Amini Z; Fatemi MH; Gharaghani S
Comput Biol Chem; 2016 Oct; 64():335-345. PubMed ID: 27570070
[TBL] [Abstract][Full Text] [Related]
19. Design, synthesis and biological evaluation of hetero-aromatic moieties substituted pyrrole-2-carbonitrile derivatives as dipeptidyl peptidase IV inhibitors.
Ji X; Su M; Wang J; Deng G; Deng S; Li Z; Tang C; Li J; Li J; Zhao L; Jiang H; Liu H
Eur J Med Chem; 2014 Mar; 75():111-22. PubMed ID: 24531224
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery.
Nayarisseri A; Khandelwal R; Tanwar P; Madhavi M; Sharma D; Thakur G; Speck-Planche A; Singh SK
Curr Drug Targets; 2021; 22(6):631-655. PubMed ID: 33397265
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]