المؤلفون: Kazmi, Bilal, Taqvi, Syed Ali Ammar, Juchelkov, Dagmar, Li, Guoxuan, Naqvi, Salman Raza

المصدر: Results in Engineering (RINENG). 25

مصطلحات موضوعية: Deep learning, Kyoto Protocol, Prediction models, Acid gas capture, Gas separations, Gas solubility, Greenhouse gas emissions, Greenhouses gas, Human activities, Limited data, Neural-networks, Solubility prediction, Chemical Engineering, Kemiteknik

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-102773
https://doi.org/10.1016/j.rineng.2024.103851
https://kau.diva-portal.org/smash/get/diva2:1930631/FULLTEXT01.pdf

المؤلفون: Zhao, Jiaxi, Hermans, Eline, Sepassi, Kia, Tistaert, Christophe, Bergström, Christel A.S., 1973, Ahmad, Mazen, Larsson, Per

المصدر: Molecular Pharmaceutics. 21(10):5261-5271

مصطلحات موضوعية: solubility prediction, machine learning, quantitative structure−property relationship (QSPR), intrinsic solubility, data quality

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-545169
https://doi.org/10.1021/acs.molpharmaceut.4c00685
https://uu.diva-portal.org/smash/get/diva2:1920732/FULLTEXT01.pdf

المؤلفون: Hui Wei, Vladimir V. Lunin, Markus Alahuhta, Michael E. Himmel, Shu Huang, Yannick J. Bomble, Min Zhang

المصدر: Microbial Cell Factories, Vol 23, Iss 1, Pp 1-13 (2024)

مصطلحات موضوعية: Carbonic anhydrase, Protein expression, Protein solubility prediction, Phylogenetic tree analysis, Escherichia coli, Microbiology, QR1-502

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1475-2859

URL الوصول: https://doaj.org/article/d9158e8ef94a4da4a5e27cbf3c17a22a

المؤلفون: Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Andreas Dengel

المصدر: Heliyon, Vol 10, Iss 17, Pp e36041- (2024)

مصطلحات موضوعية: Protein solubility prediction, Machine learning, Physico-chemical properties, Amino acids multi-level correlation, Amino acids multi-level discriminative distribution, Protein sequence encoder, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024120725; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/340d63b8e2084ba8a4b934bbd12eb12d

المؤلفون: Conn, Jonathan G.M., Carter, James W., Conn, Justin J.A., Subramanian, Vigneshwari, Baxter, Andrew, Engkvist, Ola, 1967, Llinas, Antonio, Ratkova, Ekaterina L., Pickett, Stephen D., Mcdonagh, James L., Palmer, David S.

المصدر: Journal of Chemical Information and Modeling Blinded Predictions and Post-hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models. 63(4):1099-1113

مصطلحات موضوعية: Learning algorithms, Convolutional neural networks, Deep learning, Solubility prediction, Molecules

وصف الملف: electronic

URL الوصول: https://research.chalmers.se/publication/534731
https://research.chalmers.se/publication/534731/file/534731_Fulltext.pdf

المؤلفون: Turki Al Hagbani, Sameer Alshehri, Sami Bawazeer

المصدر: Frontiers in Medicine, Vol 11 (2024)

مصطلحات موضوعية: drug development, solubility prediction, optimization, machine learning, modeling, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmed.2024.1435675/full; https://doaj.org/toc/2296-858X

URL الوصول: https://doaj.org/article/7f1e9b05649d4db983c7d1dcb120c1ee

المؤلفون: Long Chen, Rining Wu, Feixiang Zhou, Huifeng Zhang, Jian K. Liu

المصدر: Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-13 (2023)

مصطلحات موضوعية: Protein solubility prediction, ESM, Zero-shot learning, Feature fusion, Adaptive feature reweighting, Information technology, T58.5-58.64, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1758-2946

URL الوصول: https://doaj.org/article/a22af737159e4d16b066356ed7ffdf60

المؤلفون: Elaheh Rahimpour, Abolghasem Jouyban

المصدر: Liquids, Vol 3, Iss 4, Pp 512-521 (2023)

مصطلحات موضوعية: paracetamol, solubility prediction, Reichardt indicator, binary mixtures, Organic chemistry, QD241-441

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2673-8015/3/4/32; https://doaj.org/toc/2673-8015

URL الوصول: https://doaj.org/article/fec49386bceb43e780c8428a5f73f13c

المؤلفون: Oeller, Marc

المساهمون: Vendruscolo, Michele

مصطلحات موضوعية: Protein Solubility, Peptide Solubility, Solubility Prediction

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.876455

المؤلفون: Andrea Hunklinger, Peter Hartog, Martin Šícho, Guillaume Godin, Igor V. Tetko

المصدر: SLAS Discovery, Vol 29, Iss 2, Pp 100144- (2024)

مصطلحات موضوعية: Solubility prediction, Kaggle challenge, OCHEM, Consensus, Descriptor based models, Representation learning, Medicine (General), R5-920, Biotechnology, TP248.13-248.65

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2472555224000066; https://doaj.org/toc/2472-5552

URL الوصول: https://doaj.org/article/ce577aae0e0c444e8a2ca4d019dd520f

المؤلفون: Cenci F., Diab S., Ferrini P., Harabajiu C., Barolo M., Bezzo F., Facco P.

المساهمون: Cenci, F., Diab, S., Ferrini, P., Harabajiu, C., Barolo, M., Bezzo, F., Facco, P.

مصطلحات موضوعية: Crystallisation, Drug solubility prediction, High-throughput experimentation, Machine-learning, Mixtures of organic solvent, Novel drug solubility data

Relation: info:eu-repo/semantics/altIdentifier/pmid/38763309; info:eu-repo/semantics/altIdentifier/wos/WOS:001259758200001; volume:660; journal:INTERNATIONAL JOURNAL OF PHARMACEUTICS; https://hdl.handle.net/11577/3525948

الاتاحة: https://hdl.handle.net/11577/3525948
https://doi.org/10.1016/j.ijpharm.2024.124233

المؤلفون: Khezri, Soma, Jafari, Parisa, Jouyban, Abolghasem

المصدر: Revista Colombiana de Ciencias Químico-Farmacéuticas; Vol. 52 No. 2 (2023) ; Revista Colombiana de Ciencias Químico-Farmacéuticas; Vol. 52 Núm. 2 (2023) ; Revista Colombiana de Ciencias Químico-Farmacéuticas; v. 52 n. 2 (2023) ; 1909-6356 ; 0034-7418

مصطلحات موضوعية: Solubility prediction, extrapolation method, mono-solvent systems, van’t Hoff equation, Hansen parameters, Catalan parameters, Predicción de solubilidad, método de extrapolación, sistemas monosolventes, ecuación de van’t Hoff, parámetros de Hansen, parámetros de Catalán, Previsão de solubilidade, método de extrapolação, sistemas monossolvente, equação de van’t Hoff, Parâmetros de Hansen, Parâmetros catalães

وصف الملف: application/pdf

Relation: https://revistas.unal.edu.co/index.php/rccquifa/article/view/110747/90850; https://revistas.unal.edu.co/index.php/rccquifa/article/view/110747

الاتاحة: https://revistas.unal.edu.co/index.php/rccquifa/article/view/110747

المؤلفون: Faiza Mehmood, Shazia Arshad, Muhammad Shoaib

المصدر: IEEE Access, Vol 11, Pp 59397-59416 (2023)

مصطلحات موضوعية: Solubility prediction, machine learning, statistical representation method, novel sequence encoder, composition transition distribution, physicochemical properties, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10147217/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/a37c0a45fe864df6965c3b7e6812bcf0

المؤلفون: Jianping Liu, Xiujuan Lei, Chunyan Ji, Yi Pan

المصدر: Frontiers in Pharmacology, Vol 14 (2023)

مصطلحات موضوعية: drug discovery, drug molecules, solubility prediction, attention mechanism, fragments, Therapeutics. Pharmacology, RM1-950

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2023.1255181/full; https://doaj.org/toc/1663-9812

URL الوصول: https://doaj.org/article/a8b0900dcfce40caa117fe2261097583

المؤلفون: Thimmasetty, J¹, Shashank, NN¹, Raheem, T Abdul^{1, 1}, Shwetha, SKK¹, Tanmoy, G²

المصدر: Research Journal of Pharmacy and Technology 14(9):4891-4896. 2021

المؤلفون: Zhuyifan Ye, Defang Ouyang

المصدر: Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-13 (2021)

مصطلحات موضوعية: Solubility prediction, Organic solvents, QSPR, Machine learning, lightGBM, Deep learning, Information technology, T58.5-58.64, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1758-2946

URL الوصول: https://doaj.org/article/b972c5324b224409b6dcc5f6673431cf

المؤلفون: Jingwen Wang, Zhen Song, Lifang Chen, Tao Xu, Liyuan Deng, Zhiwen Qi

المصدر: Green Chemical Engineering, Vol 2, Iss 4, Pp 431-440 (2021)

مصطلحات موضوعية: CO2 solubility prediction, Deep eutectic solvents, Quantitative structure-property relationship model, COSMO-RS-derived descriptors, Random forest, Chemical engineering, TP155-156, Biochemistry, QD415-436

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666952821000534; https://doaj.org/toc/2666-9528

URL الوصول: https://doaj.org/article/2a0bb54f71b6442db5f3a5f2500586a2

المؤلفون: Parisa Jafari, Elaheh Rahimpour

مصطلحات موضوعية: Biochemistry, Medicine, Biotechnology, Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, Solubility prediction, aqueous binary mixtures of methanol, minimum experiments, cosolvency models, activity coefficient, interpolation

Relation: https://figshare.com/articles/journal_contribution/Solubility_prediction_of_drugs_in_methanol_water_mixtures_using_minimum_number_of_data_points_Comparison_of_various_models/24796786

الاتاحة: https://doi.org/10.6084/m9.figshare.24796786.v1
https://figshare.com/articles/journal_contribution/Solubility_prediction_of_drugs_in_methanol_water_mixtures_using_minimum_number_of_data_points_Comparison_of_various_models/24796786

المؤلفون: Mingdong Zhang, Kai Ge, Yaxuan Chen, Yuanhui Ji

مصطلحات موضوعية: Biophysics, Biochemistry, Biotechnology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, provide theoretical guidance, predicted dissolution profiles, dissolution mechanism analysis, determined rate constants, polymer mass fraction, four polymers used, mass fraction, four polymers, dissolution rate, dissolution profiles, dissolution mechanism, stirring speed, solubilization effects, solubilization effect, solubility prediction, results show, pvp k25, pharmaceutical excipients, peg 6000, peg 20000, hpmc e3, good accordance, experimental data, different conditions, based upon

Relation: https://figshare.com/articles/journal_contribution/Solubility_Prediction_and_Dissolution_Mechanism_Analysis_of_Etodolac_in_Complex_Polymer_Solutions_Based_on_Thermodynamic_and_Interfacial_Mass_Transfer_Models/24919237

الاتاحة: https://doi.org/10.1021/acs.iecr.3c03638.s001
https://figshare.com/articles/journal_contribution/Solubility_Prediction_and_Dissolution_Mechanism_Analysis_of_Etodolac_in_Complex_Polymer_Solutions_Based_on_Thermodynamic_and_Interfacial_Mass_Transfer_Models/24919237

المؤلفون: Chenglong Zhang, Jin Wu, Ruixue Wang, En Ma, Liang Wu, Jianfeng Bai, Jingwei Wang

المصدر: Green Energy & Environment, Vol 6, Iss 3, Pp 339-349 (2021)

مصطلحات موضوعية: Solubility prediction, COSMO-RS, Toluene, Ionic liquids, Renewable energy sources, TJ807-830, Ecology, QH540-549.5

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S246802572030128X; https://doaj.org/toc/2468-0257

URL الوصول: https://doaj.org/article/3b4782bc0ac847cdaa5d513dc97e89e9