These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 36651860)

  • 1. Ring Repeating Unit: An Upgraded Structure Representation of Linear Condensation Polymers for Property Prediction.
    Yu M; Shi Y; Jia Q; Wang Q; Luo ZH; Yan F; Zhou YN
    J Chem Inf Model; 2023 Feb; 63(4):1177-1187. PubMed ID: 36651860
    [TBL] [Abstract][Full Text] [Related]  

  • 2. QSPR modelling for prediction of glass transition temperature of diverse polymers.
    Khan PM; Roy K
    SAR QSAR Environ Res; 2018 Dec; 29(12):935-956. PubMed ID: 30392386
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling of Glass Transition Temperatures for Polymeric Coating Materials: Application of QSPR Mixture-based Approach.
    Petrosyan LS; Sizochenko N; Leszczynski J; Rasulev B
    Mol Inform; 2019 Aug; 38(8-9):e1800150. PubMed ID: 30945811
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine Learning with Enormous "Synthetic" Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks.
    Volgin IV; Batyr PA; Matseevich AV; Dobrovskiy AY; Andreeva MV; Nazarychev VM; Larin SV; Goikhman MY; Vizilter YV; Askadskii AA; Lyulin SV
    ACS Omega; 2022 Dec; 7(48):43678-43691. PubMed ID: 36506114
    [TBL] [Abstract][Full Text] [Related]  

  • 5. QSPR modelling for intrinsic viscosity in polymer-solvent combinations based on density functional theory.
    Wang S; Cheng M; Zhou L; Dai Y; Dang Y; Ji X
    SAR QSAR Environ Res; 2021 May; 32(5):379-393. PubMed ID: 33823697
    [TBL] [Abstract][Full Text] [Related]  

  • 6. QSPR Analysis of Copolymers by Recursive Neural Networks: Prediction of the Glass Transition Temperature of (Meth)acrylic Random Copolymers.
    Bertinetto CG; Duce C; Micheli A; Solaro R; Tiné MR
    Mol Inform; 2010 Sep; 29(8-9):635-43. PubMed ID: 27463457
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature.
    Tao L; Varshney V; Li Y
    J Chem Inf Model; 2021 Nov; 61(11):5395-5413. PubMed ID: 34662106
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine-Learning-Based Predictive Modeling of Glass Transition Temperatures: A Case of Polyhydroxyalkanoate Homopolymers and Copolymers.
    Pilania G; Iverson CN; Lookman T; Marrone BL
    J Chem Inf Model; 2019 Dec; 59(12):5013-5025. PubMed ID: 31697891
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction and Interpretability Study of the Glass Transition Temperature of Polyimide Based on Machine Learning with Quantitative Structure-Property Relationship (
    Zhang T; Wang S; Chai Y; Yu J; Zhu W; Li L; Li B
    J Phys Chem B; 2024 Jul; ():. PubMed ID: 38979707
    [TBL] [Abstract][Full Text] [Related]  

  • 10. QSPR modelling for investigation of different properties of aminoglycoside-derived polymers using 2D descriptors.
    Khan PM; Roy K
    SAR QSAR Environ Res; 2021 Jul; 32(7):595-614. PubMed ID: 34148451
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating Polymer Representations via Quantifying Structure-Property Relationships.
    Ma R; Liu Z; Zhang Q; Liu Z; Luo T
    J Chem Inf Model; 2019 Jul; 59(7):3110-3119. PubMed ID: 31268306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors.
    Melagraki G; Afantitis A; Sarimveis H; Koutentis PA; Markopoulos J; Igglessi-Markopoulou O
    J Mol Model; 2007; 13(1):55-64. PubMed ID: 16738871
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks.
    Mattioni BE; Jurs PC
    J Chem Inf Comput Sci; 2002; 42(2):232-40. PubMed ID: 11911692
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting Polymers' Glass Transition Temperature by a Chemical Language Processing Model.
    Chen G; Tao L; Li Y
    Polymers (Basel); 2021 Jun; 13(11):. PubMed ID: 34200505
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A quantitative structure-property relationship study for refractive indices of conjugated polymers.
    Gao J; Xu J; Chen B; Zhang Q
    J Mol Model; 2007 May; 13(5):573-8. PubMed ID: 17340114
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Novel descriptors from main and side chains of high-molecular-weight polymers applied to prediction of glass transition temperatures.
    Palomba D; Vazquez GE; Díaz MF
    J Mol Graph Model; 2012 Sep; 38():137-47. PubMed ID: 23085161
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transformer-Based Representation of Organic Molecules for Potential Modeling of Physicochemical Properties.
    Pérez-Correa I; Giunta PD; Mariño FJ; Francesconi JA
    J Chem Inf Model; 2023 Dec; 63(24):7676-7688. PubMed ID: 38062559
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of hierarchical structured representations for QSPR studies of small molecules and polymers by recursive neural networks.
    Bertinetto C; Duce C; Micheli A; Solaro R; Starita A; Tiné MR
    J Mol Graph Model; 2009 Apr; 27(7):797-802. PubMed ID: 19150251
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Designing novel polymers with targeted properties using the signature molecular descriptor.
    Brown WM; Martin S; Rintoul MD; Faulon JL
    J Chem Inf Model; 2006; 46(2):826-35. PubMed ID: 16563014
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using combined computational techniques to predict the glass transition temperatures of aromatic polybenzoxazines.
    Mhlanga P; Wan Hassan WA; Hamerton I; Howlin BJ
    PLoS One; 2013; 8(1):e53367. PubMed ID: 23326419
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.