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Relationship of the structure of cellulose and certain model compounds to the dynamics of molecular reactions

Plotnikov, O.V.

Biofizika 26(1): 22-26

1981

ISSN/ISBN: 0006-3029
PMID: 6261839
Document Number: 182251
Using the results of kinetic studies of free radical recombination in cellulose and in some model compounds, some data as to their structure were obtained. Cellulose is characterized by the distribution function of microregions with different energy of molecular interaction. The minimal value of activation energy of macromolecule movement is 37-42 kJ/mol (1.5-2 hydrogen bonds per glucopyranose ring), the maximal one is 63-105 kJ/mol corresponding to the most ordered (crystalline) regions of cellulose. After amorphization of cellulose the warming-up by stages curve points to even distribution by the forces of molecular interaction.

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Winstead, M.B.; Dischino, D.D.; Winchell, H.S. 1979: Relationship of molecular structure to the in vivo-distribution of carbon-11-labeled compounds. V. Carbon-11-labeled N-alkyl-p-iodobenzenesulfonamides Nuklearmedizin. Nuclear Medicine 18(3): 142-146
Stürzebecher, J.; Markwardt, F.; Wagner, G.; Walsmann, P. 1976: Synthetic inhibitors of serine proteinases. 13. Quantitative structure-activity relationship for inhibition of trypsin and thrombin by 4-amidinophenyl compounds with a ketone structure Acta Biologica et Medica Germanica 35(12): 1665-1676
Inglot, A.D.; Młochowski, J.; Zielińska-Jenczylik, J.; Piasecki, E.; Ledwoń, T.K.; Kloc, K. 1996: Seleno-organic compounds as immunostimulants: an approach to the structure-activity relationship Archivum Immunologiae et Therapiae Experimentalis 44(1): 67-75
Kasahara, K.; Shirota, M.; Kino-Shita, K. 2013: Molecular dynamics simulation, ion channel, dynamic structure, bioinformatics Seikagaku. Journal of Japanese Biochemical Society 85(8): 656-662
Millet-Clerc, J.; Michel, D.; Chaumont, J.P. 1989: Antifungal effects in vitro of jasmon and some similar compounds. Structure-activity relationship Annales Pharmaceutiques Francaises 47(3): 157-161
Bai, A.P.; Guo, Z.R.; Chu, F.M. 2001: Three dimensional quantitative structure-activity relationship of heterocyclic-compounds with di-tert-bultylphenyl inhibitors Yao Xue Xue Bao 36(5): 347-350
Kovalishin, V.V.; Tetko, I.V.; Luĭk, A.I.; Chretien, J.R.; Livingstone, D.J. 2001: Application of neural networks using the volume learning algorithm for the study of structure-activity relationship in chemical compounds Bioorganicheskaia Khimiia 27(4): 303-313
Hiroaki, H.; Ebata, T.; Uesugi, S.; Fujii, S. 1990: Base recognition mechanism of bleomycin: solution structure of d(GGGGAGCTCCCC)2 based on 1H-NMR and restrained molecular dynamics Nucleic Acids Symposium Series 22: 53-54
Osadchiĭ, L.I.; Balueva, T.V.; Sergeev, I.V. 1997: Hemodynamic structure of antiorthostatic reactions: relationship of mechanical activity of the heart and arterial pressure Aviakosmicheskaia i Ekologicheskaia Meditsina 31(3): 19-23
Sukhorukov, B.I.; Gukovskaia, A.S.; Sukhoruchkina, L.V.; Lavrenova, G.I. 1972: Optical properties and molecular structure of nucleic acids and their components. V. Spectrophotometric determination of thermodynamic parameters for protolytic reactions of cytosine and its N- and O-methyl derivatives Biofizika 17(1): 5-11
Shi, B.; Liu, Y.; Li, Y.; Wang, G.; Liang, G. 2014: Application of an R-group search strategy into three-dimensional quantitative structure-activity relationship of HEA beta-secretase inhibitors and molecular virtual screening Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 31(1): 196-204
Yan, L.B.; Xiang, B.R. 2001: Application of molecular similarity method in the study of quantitative structure-retention relationship for reversed-phase high performance liquid chromatography of drugs Se Pu 19(5): 427-432
Novikov, G.V.; Sivozhelezov, V.S.; Shaĭtan, K.V. 2013: Investigation of the conformational dynamics of the adenosine A2A receptor by means of molecular dynamics simulation Biofizika 58(4): 618-634
Vasudevan, S.V.; Balaji, P.V. 2002: Conformation, orientation and dynamics of dodecylphosphocholine in micellar aggregate: a 3.2 ns molecular dynamics simulation study Indian Journal of Biochemistry and Biophysics 39(2): 87-92
Natelson, S. 1984: Metabolic relationship between urea and guanidino compounds as studied by automated fluorimetry of guanidino compounds in urine Clinical Chemistry 30(2): 252-258
Feng, L.; Zhang, M.-H.; Gu, J.-F.; Wang, G.-Y.; Zhao, Z.-Y.; Jia, X.-B. 2013: Study on "multi-dimensional structure and process dynamics quality control system" of Danshen infusion solution based on component structure theory Zhongguo Zhong Yao Za Zhi 38(21): 3622-3626
Krystynowicz, A.; Koziołkiewicz, M.; Wiktorowska-Jezierska, A.; Bielecki, Sław.; Klemenska, E.; Masny, A.; Płucienniczak, A. 2005: Molecular basis of cellulose biosynthesis disappearance in submerged culture of Acetobacter xylinum Acta Biochimica Polonica 52(3): 691-698
Podaný, V.; Vachálková, A.; Miertus, S.; Bahna, L. 1975: Electrochemical properties of polycyclic compounds studied by the polarographic method in anhydrous systems. II. Polarographic study of carcinogenic nitrogen compounds in dimethylformamide and comparison of half-wave potentials with quantum-chemical calculations of molecular orbitals Neoplasma 22(5): 469-482
Sud, S.; Mahapatra, S.C.; Bijlani, R.L.; Nayar, U. 1988: Effect of cellulose and ispaghula husk on small intestinal structure of young rats and hamsters Indian Journal of Medical Research 87: 631-636