Journal articles on the topic 'Molecular modeling'

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1

Gupta, Himanshu, and Aarti Sharma. "Molecular modeling." Journal of Pharmacy And Bioallied Sciences 1, no. 1 (2009): 16. http://dx.doi.org/10.4103/0975-7406.62681.

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2

Kollman, P. "Molecular Modeling." Annual Review of Physical Chemistry 38, no. 1 (October 1987): 303–16. http://dx.doi.org/10.1146/annurev.pc.38.100187.001511.

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3

Holmes, Jon L. "Molecular Modeling." Journal of Chemical Education 76, no. 6 (June 1999): 871. http://dx.doi.org/10.1021/ed076p871.

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4

Broughton, Howard B. "Molecular modeling." Current Opinion in Chemical Biology 1, no. 3 (October 1997): 392–98. http://dx.doi.org/10.1016/s1367-5931(97)80079-8.

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5

Bharat Kumar S. Ankalagi, Nagaraj Gangadhar Hanshul, Ramprasad H., Sudeep Shetty, Tejaswi M.N., Dr. Sindhu Sree M., Dr. Pavithra G, and Dr. T.C.Manjunath. "Molecular Modeling." international journal of engineering technology and management sciences 7, no. 3 (2023): 454–58. http://dx.doi.org/10.46647/ijetms.2023.v07i03.60.

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In this paper, the modelling of molecule is presented. Chemistry, as the central science, utilizes models in virtually every aspect of the discipline. Integral to the progress of chemistry has been its ability to draw from physics, mathematics, statistics, and computer science to develop new sub disciplines, such as computational chemistry. As computing hardware has become faster and more accessible, so to have techniques to perform modelling and simulations of molecular systems. Software systems today assist researchers in the study of molecular systems and provide mechanisms for deriving a rigorous and consistent explanation for the chemical or biological behaviour observed or help the researcher to develop a model for predictions. Molecular modelling is a field that encompasses a wide range of theoretical and computational methods used to represent the structure and behavior of molecules, ions, and particles. These models can be classified based on their length and time scales, ranging from electronic-level models to continuous-level models. One of the main applications of molecular modelling is in drug discovery, where it can be used to predict the activity and behavior of molecules in the body, aiding in the design of new drugs. Additionally, molecular modelling plays a crucial role in materials science, where it can be used to design new materials with specific properties, such as strength, flexibility, and conductivity. With advances in computing hardware and software, molecular modelling has become an increasingly powerful tool in the fields of chemistry, physics, biology, and materials science, allowing researchers to gain a deeper understanding of the behavior of molecules and particles at the molecular level. The work done & presented in this paper is the result of the mini-project work that has been done by the first sem engineering students of the college and as such there is little novelty in it and the references are being taken from various sources from the internet, the paper is being written by the students to test their writing skills in the starting of their engineering career and also to test the presentation skills during their mini-project presentation. The work done & presented in this paper is the report of the assignment / alternate assessment tool as a part and parcel of the academic assignment of the first year subject on nanotechnology & IoT.
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6

Jülicher, Frank, Armand Ajdari, and Jacques Prost. "Modeling molecular motors." Reviews of Modern Physics 69, no. 4 (October 1, 1997): 1269–82. http://dx.doi.org/10.1103/revmodphys.69.1269.

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7

Stewart, Sharon D. "Computer generated molecular modeling." SIMULATION 47, no. 1 (July 1986): 18–23. http://dx.doi.org/10.1177/003754978604700104.

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8

Hastings, Michael. "Modeling the Molecular Calendar." Journal of Biological Rhythms 16, no. 2 (April 2001): 117–23. http://dx.doi.org/10.1177/074873001129001818.

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9

Gabriel, Jerome L., and J. Kenneth Hoober. "Molecular modeling of phytochrome." Journal of Theoretical Biology 151, no. 4 (August 1991): 541–56. http://dx.doi.org/10.1016/s0022-5193(05)80369-8.

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10

Duca, J. S., and A. J. Hopfinger. "Molecular modeling of polymers." Computational and Theoretical Polymer Science 9, no. 3-4 (December 1999): 227–44. http://dx.doi.org/10.1016/s1089-3156(99)00009-4.

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11

White, DavidN J., J. Noel Ruddock, PaulR Edgington, and GuyH Grant. "Molecular modeling with transputers." Journal of Molecular Graphics 7, no. 3 (September 1989): 172. http://dx.doi.org/10.1016/0263-7855(89)80026-8.

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12

Karney, Charles F. F. "Quaternions in molecular modeling." Journal of Molecular Graphics and Modelling 25, no. 5 (January 2007): 595–604. http://dx.doi.org/10.1016/j.jmgm.2006.04.002.

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13

Pirhadi, Somayeh, Jocelyn Sunseri, and David Ryan Koes. "Open source molecular modeling." Journal of Molecular Graphics and Modelling 69 (September 2016): 127–43. http://dx.doi.org/10.1016/j.jmgm.2016.07.008.

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14

Milne, G. W. A., M. C. Nicklaus, and M. Hodošček. "Molecular modeling in solvent." Journal of Molecular Structure 291, no. 1 (January 1993): 89–103. http://dx.doi.org/10.1016/0022-2860(93)80255-t.

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15

Horn, Anselm. "Molecular‐Modelling‐Workshop in Erlangen." Nachrichten aus der Chemie 72, no. 7-8 (July 2024): 89. http://dx.doi.org/10.1002/nadc.20244143957.

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AbstractDer 36. Molecular Modelling Workshop (MMWS) der Molecular Graphics and Modeling Society – Deutschsprachige Sektion (MGMS‐DS) fand wie seit mehr als 15 Jahren in Erlangen statt. Zu der dreitägigen Veranstaltung Mitte März trafen sich etwa 80 Menschen von Universitäten und Unternehmen aus dem In‐ und Ausland.
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16

Raksha, Elena, Aleksandr Eresko, Yuliya Berestneva, Aleksey Muratov, and Gennadiy Zaikov. "Molecular Modeling of the 2-(Pyridin-2-Yl)-1H-Benzimidazole Intramolecular Dynamics." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 10. Innovatcionnaia deiatel’nost’, no. 4 (December 2015): 33–39. http://dx.doi.org/10.15688/jvolsu10.2015.4.5.

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17

Weiss, Horst, and Peter Deglmann. "Needs and Opportunities - Molecular Modeling Meets Polymer Process Modeling." Macromolecular Symposia 302, no. 1 (March 31, 2011): 6–15. http://dx.doi.org/10.1002/masy.201000065.

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18

Ranganathan, Shoba. "Molecular Modeling on the Web." BioTechniques 30, no. 1 (January 2001): 50–52. http://dx.doi.org/10.2144/01301ir01.

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19

Wade, Rebecca, and Outi Salo-Ahen. "Molecular Modeling in Drug Design." Molecules 24, no. 2 (January 17, 2019): 321. http://dx.doi.org/10.3390/molecules24020321.

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This Special Issue contains thirteen articles that provide a vivid snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges [...]
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20

Lushchekina, S., H. Delacour, O. Lockridge, and P. Masson. "Human butyrylcholinesterase polymorphism: Molecular modeling." International Journal of Risk & Safety in Medicine 27, s1 (November 27, 2015): S80—S81. http://dx.doi.org/10.3233/jrs-150699.

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21

Asing, Md Eaqub Ali, and Sharifah Bee Abd Hamid. "SERS-Modeling in Molecular Sensing." Advanced Materials Research 1109 (June 2015): 223–26. http://dx.doi.org/10.4028/www.scientific.net/amr.1109.223.

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Surface enhanced Raman spectroscopy (SERS) is an ultrasensitive vibrational spectroscopic technique that useful tools in detecting biomolecules at near or on the surface of plasmonic nanostructures. Unique physicochemical and optical properties of noble metal nanostructures allow the assimilation of biomolecular probes and exhibit distinctive spectra, prompting the development of a plethora of biosensing platforms in molecular diagnostics. In SERS biosensor, signal to noise ration such as recognition and transducer elements that provide fingerprint spectrum at the lower limit of detection with specific binding or hybridized event, increasing reliability and sensitivity. Since the localized surface plasmon resonance (LSPR) of nanoparticle lies at the heart of SERS. It is essential to control all of the LSPR influencing factors in highly sensitivity signal strength that ensures reproducibility of SERS signals. SERS active substrates, transducer elements, metal surfaces modification, interparticle spacing, dielectric environment and selection of biorecognition molecules contribute in SERS signal strength. Modified metal structure with bioprobe and Raman reporter molecules provides a strong signature fingerprints that surely contribute to noble biosensor structural designing. We reviewed here ideal fabrication of nanostructure for SERS application in molecular sensing research fields.
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22

Adelusi, Temitope Isaac, Abdul-Quddus Kehinde Oyedele, Ibrahim Damilare Boyenle, Abdeen Tunde Ogunlana, Rofiat Oluwabusola Adeyemi, Chiamaka Divine Ukachi, Mukhtar Oluwaseun Idris, et al. "Molecular modeling in drug discovery." Informatics in Medicine Unlocked 29 (2022): 100880. http://dx.doi.org/10.1016/j.imu.2022.100880.

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23

Hongmao Sun and David Fry. "Molecular Modeling of Melanocortin Receptors." Current Topics in Medicinal Chemistry 7, no. 11 (June 1, 2007): 1042–51. http://dx.doi.org/10.2174/156802607780906573.

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24

Darden, T. A., and L. G. Pedersen. "Molecular modeling: an experimental tool." Environmental Health Perspectives 101, no. 5 (October 1993): 410–12. http://dx.doi.org/10.1289/ehp.93101410.

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25

Ibrahim, Medhat, and Hanan Elhaes. "Exploring Materials: Molecular Modeling Approach." Reviews in Theoretical Science 1, no. 3 (December 1, 2013): 368–76. http://dx.doi.org/10.1166/rits.2013.1012.

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26

Hauk, A., and K. ‐W Schramm. "Molecular modeling in environmental science∗." Toxicological & Environmental Chemistry 26, no. 1-4 (March 1990): 45–54. http://dx.doi.org/10.1080/02772249009357531.

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27

Raabe, Gabriele. "Molecular Modeling of Fluoropropene Refrigerants." Journal of Physical Chemistry B 116, no. 19 (May 4, 2012): 5744–51. http://dx.doi.org/10.1021/jp300991t.

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28

Yan, Zhen Yi, Stephen D. Huhn, Lawrence P. Klemann, and Michael S. Otterburn. "Molecular modeling studies of triacylglycerols." Journal of Agricultural and Food Chemistry 42, no. 2 (February 1994): 447–52. http://dx.doi.org/10.1021/jf00038a039.

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29

Cundari, Thomas R., Laura L. Sisterhen, and Chryssanthi Stylianopoulos. "Molecular Modeling of Vanadium Peroxides." Inorganic Chemistry 36, no. 18 (August 1997): 4029–34. http://dx.doi.org/10.1021/ic970266f.

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30

Cundari, Thomas R., Laura L. Sisterhen, and Chryssanthi Stylianopoulos. "Molecular Modeling of Vanadium Peroxides." Inorganic Chemistry 36, no. 25 (December 1997): 5972. http://dx.doi.org/10.1021/ic971287c.

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31

Gavalda, Sandra, Katsumi Kaneko, Kendall T. Thomson, and Keith E. Gubbins. "Molecular modeling of carbon aerogels." Colloids and Surfaces A: Physicochemical and Engineering Aspects 187-188 (August 2001): 531–38. http://dx.doi.org/10.1016/s0927-7757(01)00641-0.

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32

Moulabbi, M., H. Broch, L. Robert, and D. Vasilescu. "Quantum molecular modeling of hyaluronan." Journal of Molecular Structure: THEOCHEM 395-396 (May 1997): 477–508. http://dx.doi.org/10.1016/s0166-1280(97)00021-3.

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33

Vasilescu, D., and H. Broch. "Quantum molecular modeling of melatonin." Journal of Molecular Structure: THEOCHEM 460, no. 1-3 (February 1999): 191–205. http://dx.doi.org/10.1016/s0166-1280(98)00317-0.

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34

Luo, Sheng-Nian, Tahir Çaǧin, Alejandro Strachan, William A. Goddard, and Thomas J. Ahrens. "Molecular dynamics modeling of stishovite." Earth and Planetary Science Letters 202, no. 1 (August 2002): 147–57. http://dx.doi.org/10.1016/s0012-821x(02)00749-5.

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35

Immirzi, Attilio. "Analytical Algorithm for Molecular Modeling." Journal of Chemical Information and Modeling 47, no. 6 (October 31, 2007): 2263–65. http://dx.doi.org/10.1021/ci700225x.

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36

Virovets, Alexander V. "Molecular Modeling Applications in Crystallization." Materials Research Bulletin 35, no. 4 (March 2000): 649–50. http://dx.doi.org/10.1016/s0025-5408(00)00241-5.

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37

Abraham, R. J., and G. H. Grant. "Molecular modeling of silicon compounds." Journal of Molecular Graphics 6, no. 4 (December 1988): 217. http://dx.doi.org/10.1016/s0263-7855(98)80025-8.

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38

Elbaum, Daniel, and Stuart L. Schreiber. "Neocarzinostatin activation: molecular modeling revisited." Bioorganic & Medicinal Chemistry Letters 4, no. 2 (January 1994): 309–14. http://dx.doi.org/10.1016/s0960-894x(01)80134-7.

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39

Bacsa, John, and Jan C. A. Boeyens. "Molecular modeling of dimetal systems." Journal of Organometallic Chemistry 596, no. 1-2 (February 2000): 159–64. http://dx.doi.org/10.1016/s0022-328x(99)00644-0.

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40

Latour Jr., Robert A. "Molecular modeling of biomaterial surfaces." Current Opinion in Solid State and Materials Science 4, no. 4 (August 1999): 413–17. http://dx.doi.org/10.1016/s1359-0286(99)00022-4.

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41

KRIEGER, JAMES. "Capabilities of Molecular Modeling Expand." Chemical & Engineering News 65, no. 18 (May 4, 1987): 26. http://dx.doi.org/10.1021/cen-v065n018.p026.

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42

Laug, P., and H. Borouchaki. "Molecular Surface Modeling and Meshing." Engineering with Computers 18, no. 3 (October 25, 2002): 199–210. http://dx.doi.org/10.1007/s003660200018.

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43

Davidson, Ernest R. "Molecular Mechanics and Modeling: Overview." Chemical Reviews 93, no. 7 (November 1993): 2337. http://dx.doi.org/10.1021/cr00023a600.

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44

Booth, AG. "Computer graphics and molecular modeling." Biochemical Education 15, no. 1 (January 1987): 51. http://dx.doi.org/10.1016/0307-4412(87)90169-5.

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45

Rastija, V., S. Nikolić, and M. Medić-Šarić. "Molecular modeling of wine polyphenols." Journal of Mathematical Chemistry 46, no. 3 (July 22, 2009): 820–33. http://dx.doi.org/10.1007/s10910-009-9552-2.

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46

Ishii, Akio, Hajime Kimizuka, and Shigenobu Ogata. "Multi-replica molecular dynamics modeling." Computational Materials Science 54 (March 2012): 240–48. http://dx.doi.org/10.1016/j.commatsci.2011.10.013.

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47

Burke, Steven D., Louis A. Silks, and Sharon M. S. Strickland. "Remote functionalization and molecular modeling." Tetrahedron Letters 29, no. 23 (January 1988): 2761–64. http://dx.doi.org/10.1016/0040-4039(88)85202-x.

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48

Chandrasekaran, R., A. Radha, and A. Giacometti. "Molecular modeling of substituted polysaccharides." Carbohydrate Polymers 28, no. 1 (January 1995): 49–59. http://dx.doi.org/10.1016/0144-8617(95)00078-x.

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49

Porcheron, F., P. A. Monson, and M. Thommes. "Molecular Modeling of Mercury Porosimetry." Adsorption 11, S1 (July 2005): 325–29. http://dx.doi.org/10.1007/s10450-005-5945-0.

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50

Gund, T. M. "Supercomputer applications in molecular modeling." IEEE Engineering in Medicine and Biology Magazine 7, no. 4 (December 1988): 21–26. http://dx.doi.org/10.1109/51.20376.

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