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For: Cysewski P, Przybyłek M. Selection of effective cocrystals former for dissolution rate improvement of active pharmaceutical ingredients based on lipoaffinity index. Eur J Pharm Sci 2017;107:87-96. [PMID: 28687528 DOI: 10.1016/j.ejps.2017.07.004] [Cited by in Crossref: 20] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Przybyłek M, Miernicka A, Nowak M, Cysewski P. New Screening Protocol for Effective Green Solvents Selection of Benzamide, Salicylamide and Ethenzamide. Molecules 2022;27:3323. [DOI: 10.3390/molecules27103323] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Emami S, Ghafari R, Manafzadeh E. Solid-State Interaction of Pharmaceutical Cocrystals with Water Vapor. Crystal Growth & Design 2021;21:4805-20. [DOI: 10.1021/acs.cgd.1c00480] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Cysewski P, Jeliński T, Cymerman P, Przybyłek M. Solvent Screening for Solubility Enhancement of Theophylline in Neat, Binary and Ternary NADES Solvents: New Measurements and Ensemble Machine Learning. Int J Mol Sci 2021;22:7347. [PMID: 34298966 DOI: 10.3390/ijms22147347] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Kumar A, Nanda A. In-silico methods of cocrystal screening: A review on tools for rational design of pharmaceutical cocrystals. Journal of Drug Delivery Science and Technology 2021;63:102527. [DOI: 10.1016/j.jddst.2021.102527] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Madan JR, Waghmare SV, Patil RB, Awasthi R, Dua K. Cocrystals of Apixaban with Improved Solubility and Permeability: Formulation, Physicochemical Characterization, Pharmacokinetic Evaluation, and Computational Studies. Assay Drug Dev Technol 2021;19:124-38. [PMID: 33601935 DOI: 10.1089/adt.2020.1052] [Reference Citation Analysis]
6 Mswahili ME, Lee M, Martin GL, Kim J, Kim P, Choi GJ, Jeong Y. Cocrystal Prediction Using Machine Learning Models and Descriptors. Applied Sciences 2021;11:1323. [DOI: 10.3390/app11031323] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
7 Chen X, Li D, Deng Z, Zhang H. Ketoconazole: Solving the Poor Solubility via Cocrystal Formation with Phenolic Acids. Crystal Growth & Design 2020;20:6973-82. [DOI: 10.1021/acs.cgd.0c01014] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
8 Perlovich GL. Formation Thermodynamics of Two-Component Molecular Crystals: Polymorphism, Stoichiometry, and Impact of Enantiomers. Crystal Growth & Design 2020;20:5526-37. [DOI: 10.1021/acs.cgd.0c00695] [Cited by in Crossref: 13] [Cited by in F6Publishing: 3] [Article Influence: 6.5] [Reference Citation Analysis]
9 Cysewski P. Prediction of ethenzamide solubility in organic solvents by explicit inclusions of intermolecular interactions within the framework of COSMO-RS-DARE. Journal of Molecular Liquids 2019;290:111163. [DOI: 10.1016/j.molliq.2019.111163] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 2.3] [Reference Citation Analysis]
10 Przybyłek M, Studziński W, Gackowska A, Gaca J. The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification. Environ Sci Pollut Res Int 2019;26:28188-201. [PMID: 31363975 DOI: 10.1007/s11356-019-05968-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
11 Przybyłek M, Jeliński T, Słabuszewska J, Ziółkowska D, Mroczyńska K, Cysewski P. Application of Multivariate Adaptive Regression Splines (MARSplines) Methodology for Screening of Dicarboxylic Acid Cocrystal Using 1D and 2D Molecular Descriptors. Crystal Growth & Design 2019;19:3876-87. [DOI: 10.1021/acs.cgd.9b00318] [Cited by in Crossref: 12] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
12 Przybyłek M, Recki Ł, Mroczyńska K, Jeliński T, Cysewski P. Experimental and theoretical solubility advantage screening of bi-component solid curcumin formulations. Journal of Drug Delivery Science and Technology 2019;50:125-35. [DOI: 10.1016/j.jddst.2019.01.023] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 2.3] [Reference Citation Analysis]
13 Hayashi Y, Marumo Y, Takahashi T, Nakano Y, Kosugi A, Kumada S, Hirai D, Takayama K, Onuki Y. In silico predictions of tablet density using a quantitative structure–property relationship model. International Journal of Pharmaceutics 2019;558:351-6. [DOI: 10.1016/j.ijpharm.2018.12.087] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
14 Salem A, Nagy S, Pál S, Széchenyi A. Reliability of the Hansen solubility parameters as co-crystal formation prediction tool. International Journal of Pharmaceutics 2019;558:319-27. [DOI: 10.1016/j.ijpharm.2019.01.007] [Cited by in Crossref: 21] [Cited by in F6Publishing: 10] [Article Influence: 7.0] [Reference Citation Analysis]
15 Feng Q, Huan W, Wang J, Guo F, Lu J, Diao G, Shan Y. Cocrystal Assembled by Pyrene Derivative and 1,4-Diiodotetrafluorobenzene via a C=O···I Halogen Bond. Crystals 2018;8:392. [DOI: 10.3390/cryst8100392] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
16 Tao C, Zhang J, Wang J, Le Y. Ginsenoside Drug Nanocomposites Prepared by the Aerosol Solvent Extraction System for Enhancing Drug Solubility and Stability. Pharmaceutics 2018;10:E95. [PMID: 30021937 DOI: 10.3390/pharmaceutics10030095] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
17 Emami S, Siahi-Shadbad M, Adibkia K, Barzegar-Jalali M. Recent advances in improving oral drug bioavailability by cocrystals. Bioimpacts 2018;8:305-20. [PMID: 30397585 DOI: 10.15171/bi.2018.33] [Cited by in Crossref: 34] [Cited by in F6Publishing: 15] [Article Influence: 8.5] [Reference Citation Analysis]
18 Przybyłek M, Cysewski P. Distinguishing Cocrystals from Simple Eutectic Mixtures: Phenolic Acids as Potential Pharmaceutical Coformers. Crystal Growth & Design 2018;18:3524-34. [DOI: 10.1021/acs.cgd.8b00335] [Cited by in Crossref: 24] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]