1 |
Ikpeama EU, Orish CN, Ezejiofor AN, Rovira J, Cirovic A, Cirovic A, Nwaogazie IL, Orisakwe OE. Essential Trace Elements Prevent the Impairment in the Retention Memory, Cerebral Cortex, and Cerebellum Damage in Male Rats Exposed to Quaternary Metal Mixture by Up-regulation, of Heme Oxygynase-1 and Down-regulation of Nuclear Factor Erythroid 2-related Factor 2-NOs Signaling Pathways. Neuroscience 2023;512:70-84. [PMID: 36646412 DOI: 10.1016/j.neuroscience.2023.01.002] [Reference Citation Analysis]
|
2 |
Makhaeva GF, Kovaleva NV, Rudakova EV, Boltneva NP, Grishchenko MV, Lushchekina SV, Astakhova TY, Serebryakova OG, Timokhina EN, Zhilina EF, Shchegolkov EV, Ulitko MV, Radchenko EV, Palyulin VA, Burgart YV, Saloutin VI, Bachurin SO, Richardson RJ. Conjugates of Tacrine and Salicylic Acid Derivatives as New Promising Multitarget Agents for Alzheimer's Disease. Int J Mol Sci 2023;24. [PMID: 36768608 DOI: 10.3390/ijms24032285] [Reference Citation Analysis]
|
3 |
Radchenko EV, Antonyan GV, Ignatov SK, Palyulin VA. Machine Learning Prediction of Mycobacterial Cell Wall Permeability of Drugs and Drug-like Compounds. Molecules 2023;28. [PMID: 36677691 DOI: 10.3390/molecules28020633] [Reference Citation Analysis]
|
4 |
Sedenkova KN, Zverev DV, Nazarova AA, Lavrov MI, Radchenko EV, Grishin YK, Gabrel'yan AV, Zamoyski VL, Grigoriev VV, Averina EB, Palyulin VA. Novel Nanomolar Allosteric Modulators of AMPA Receptor of Bis(pyrimidine) Series: Synthesis, Biotesting and SAR Analysis. Molecules 2022;27. [PMID: 36500341 DOI: 10.3390/molecules27238252] [Reference Citation Analysis]
|
5 |
Elkina NA, Grishchenko MV, Shchegolkov EV, Makhaeva GF, Kovaleva NV, Rudakova EV, Boltneva NP, Lushchekina SV, Astakhova TY, Radchenko EV, Palyulin VA, Zhilina EF, Perminova AN, Lapshin LS, Burgart YV, Saloutin VI, Richardson RJ. New Multifunctional Agents for Potential Alzheimer’s Disease Treatment Based on Tacrine Conjugates with 2-Arylhydrazinylidene-1,3-Diketones. Biomolecules 2022;12:1551. [DOI: 10.3390/biom12111551] [Reference Citation Analysis]
|
6 |
Faramarzi S, Kim MT, Volpe DA, Cross KP, Chakravarti S, Stavitskaya L. Development of QSAR models to predict blood-brain barrier permeability. Front Pharmacol 2022;13:1040838. [DOI: 10.3389/fphar.2022.1040838] [Reference Citation Analysis]
|
7 |
Hamzic S, Lewis R, Desrayaud S, Soylu C, Fortunato M, Gerebtzoff G, Rodríguez-Pérez R. Predicting In Vivo Compound Brain Penetration Using Multi-task Graph Neural Networks. J Chem Inf Model 2022. [PMID: 35738004 DOI: 10.1021/acs.jcim.2c00412] [Reference Citation Analysis]
|
8 |
Kosinska GP, Ognichenko LM, Shyrykalova AO, Burdina YF, Artemenko AG, Kuz’min VE. Influence of Chemical Structure of Molecules on Blood–Brain Barrier Permeability on the Pampa Model. Theor Exp Chem. [DOI: 10.1007/s11237-022-09718-5] [Reference Citation Analysis]
|
9 |
Sadovnikov KS, Vasilenko DA, Gracheva YA, Zefirov NA, Radchenko EV, Palyulin VA, Grishin YK, Vasilichin VA, Shtil AA, Shevtsov PN, Shevtsova EF, Kuznetsova TS, Kuznetsov SA, Bunev AS, Zefirova ON, Milaeva ER, Averina EB. Novel substituted 5-methyl-4-acylaminoisoxazoles as antimitotic agents: Evaluation of selectivity to LNCaP cancer cells. Arch Pharm (Weinheim) 2022;:e2100425. [PMID: 35103336 DOI: 10.1002/ardp.202100425] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
10 |
Meng F, Xi Y, Huang J, Ayers PW. A curated diverse molecular database of blood-brain barrier permeability with chemical descriptors. Sci Data 2021;8:289. [PMID: 34716354 DOI: 10.1038/s41597-021-01069-5] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]
|
11 |
Vasilenko DA, Sadovnikov KS, Sedenkova KN, Karlov DS, Radchenko EV, Grishin YK, Rybakov VB, Kuznetsova TS, Zamoyski VL, Grigoriev VV, Palyulin VA, Averina EB. A Facile Approach to Bis(isoxazoles), Promising Ligands of the AMPA Receptor. Molecules 2021;26:6411. [PMID: 34770819 DOI: 10.3390/molecules26216411] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
12 |
Kim T, You BH, Han S, Shin HC, Chung KC, Park H. Quantum Artificial Neural Network Approach to Derive a Highly Predictive 3D-QSAR Model for Blood-Brain Barrier Passage. Int J Mol Sci 2021;22:10995. [PMID: 34681653 DOI: 10.3390/ijms222010995] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
|
13 |
Makhaeva GF, Lushchekina SV, Kovaleva NV, Yu Astakhova T, Boltneva NP, Rudakova EV, Serebryakova OG, Proshin AN, Serkov IV, Trofimova TP, Tafeenko VA, Radchenko EV, Palyulin VA, Fisenko VP, Korábečný J, Soukup O, Richardson RJ. Amiridine-piperazine hybrids as cholinesterase inhibitors and potential multitarget agents for Alzheimer's disease treatment. Bioorg Chem 2021;112:104974. [PMID: 34029971 DOI: 10.1016/j.bioorg.2021.104974] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
|