384 related articles for article (PubMed ID: 30798436)
1. Combining ligand- and structure-based in silico methods for the identification of natural product-based inhibitors of Akt1.
Mahajan P; Wadhwa B; Barik MR; Malik F; Nargotra A
Mol Divers; 2020 Feb; 24(1):45-60. PubMed ID: 30798436
[TBL] [Abstract][Full Text] [Related]
2. Identification of natural allosteric inhibitor for Akt1 protein through computational approaches and in vitro evaluation.
Pragna Lakshmi T; Kumar A; Vijaykumar V; Natarajan S; Krishna R
Int J Biol Macromol; 2017 Mar; 96():200-213. PubMed ID: 27956098
[TBL] [Abstract][Full Text] [Related]
3. Ligand-based modeling of Akt3 lead to potent dual Akt1/Akt3 inhibitor.
Al-Sha'er MA; Taha MO
J Mol Graph Model; 2018 Aug; 83():153-166. PubMed ID: 29456101
[TBL] [Abstract][Full Text] [Related]
4. An in silico protocol for identifying mTOR inhibitors from natural products.
Chen L; Wang L; Gu Q; Xu J
Mol Divers; 2014 Nov; 18(4):841-52. PubMed ID: 25156384
[TBL] [Abstract][Full Text] [Related]
5. Identifying natural compounds as multi-target-directed ligands against Alzheimer's disease: an in silico approach.
Ambure P; Bhat J; Puzyn T; Roy K
J Biomol Struct Dyn; 2019 Mar; 37(5):1282-1306. PubMed ID: 29578387
[TBL] [Abstract][Full Text] [Related]
6. Pharmacoinformatic Approaches to Design Novel Inhibitors of Protein Kinase B Pathways in Cancer.
Akhtar N; Jabeen I
Curr Cancer Drug Targets; 2018; 18(9):830-846. PubMed ID: 28669343
[TBL] [Abstract][Full Text] [Related]
7. Identification and evaluation of bioactive natural products as potential inhibitors of human microtubule affinity-regulating kinase 4 (MARK4).
Mohammad T; Khan FI; Lobb KA; Islam A; Ahmad F; Hassan MI
J Biomol Struct Dyn; 2019 Apr; 37(7):1813-1829. PubMed ID: 29683402
[TBL] [Abstract][Full Text] [Related]
8. Targeting the Akt1 allosteric site to identify novel scaffolds through virtual screening.
Yilmaz OG; Olmez EO; Ulgen KO
Comput Biol Chem; 2014 Feb; 48():1-13. PubMed ID: 24291487
[TBL] [Abstract][Full Text] [Related]
9. Identification of novel natural inhibitors targeting AKT Serine/Threonine Kinase 1 (AKT1) by computational study.
Zhong S; Zhang Z; Guo Z; Yang W; Dou G; Lv X; Wang X; Ge J; Wu B; Pan X; Wang H; Mou Y
Bioengineered; 2022 May; 13(5):12003-12020. PubMed ID: 35603567
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of novel Akt1 inhibitors as anticancer agents using virtual co-crystallized pharmacophore generation.
Al-Sha'er MA; Mansi I; Almazari I; Hakooz N
J Mol Graph Model; 2015 Nov; 62():213-225. PubMed ID: 26485540
[TBL] [Abstract][Full Text] [Related]
11. Identification of novel PI3Kδ inhibitors by docking, ADMET prediction and molecular dynamics simulations.
Liu YY; Feng XY; Jia WQ; Jing Z; Xu WR; Cheng XC
Comput Biol Chem; 2019 Feb; 78():190-204. PubMed ID: 30557817
[TBL] [Abstract][Full Text] [Related]
12. Novel cancer chemotherapy hits by molecular topology: dual Akt and Beta-catenin inhibitors.
Zanni R; Galvez-Llompart M; Morell C; Rodríguez-Henche N; Díaz-Laviada I; Recio-Iglesias MC; Garcia-Domenech R; Galvez J
PLoS One; 2015; 10(4):e0124244. PubMed ID: 25910265
[TBL] [Abstract][Full Text] [Related]
13. Identification of allosteric inhibitor against AKT1 through structure-based virtual screening.
Karunakaran K; Muniyan R
Mol Divers; 2023 Dec; 27(6):2803-2822. PubMed ID: 36522517
[TBL] [Abstract][Full Text] [Related]
14. Pharmacophore identification, virtual screening and biological evaluation of prenylated flavonoids derivatives as PKB/Akt1 inhibitors.
Dong X; Zhou X; Jing H; Chen J; Liu T; Yang B; He Q; Hu Y
Eur J Med Chem; 2011 Dec; 46(12):5949-58. PubMed ID: 22027102
[TBL] [Abstract][Full Text] [Related]
15. AKT Inhibitors: The Road Ahead to Computational Modeling-Guided Discovery.
Halder AK; Cordeiro MNDS
Int J Mol Sci; 2021 Apr; 22(8):. PubMed ID: 33920446
[TBL] [Abstract][Full Text] [Related]
16. Identification of potential PKC inhibitors through pharmacophore designing, 3D-QSAR and molecular dynamics simulations targeting Alzheimer's disease.
Iqbal S; Anantha Krishnan D; Gunasekaran K
J Biomol Struct Dyn; 2018 Nov; 36(15):4029-4044. PubMed ID: 29182053
[TBL] [Abstract][Full Text] [Related]
17. Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies.
Aliebrahimi S; Montasser Kouhsari S; Ostad SN; Arab SS; Karami L
Cell Biochem Biophys; 2018 Jun; 76(1-2):135-145. PubMed ID: 28852971
[TBL] [Abstract][Full Text] [Related]
18. Virtual Screening of Natural Compounds as Potential PI
Dotolo S; Cervellera C; Russo M; Russo GL; Facchiano A
Molecules; 2021 Jan; 26(2):. PubMed ID: 33477701
[TBL] [Abstract][Full Text] [Related]
19.
Eduardo Sanabria-Chanaga E; Betancourt-Conde I; Hernández-Campos A; Téllez-Valencia A; Castillo R
J Biomol Struct Dyn; 2019 Oct; 37(16):4301-4311. PubMed ID: 30477412
[TBL] [Abstract][Full Text] [Related]
20. Discovery of Akt kinase inhibitors through structure-based virtual screening and their evaluation as potential anticancer agents.
Chuang CH; Cheng TC; Leu YL; Chuang KH; Tzou SC; Chen CS
Int J Mol Sci; 2015 Feb; 16(2):3202-12. PubMed ID: 25648320
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]