Abstract
Although there are numerous areas of the life sciences that could benefit from having a general and universal data base for three-dimensional computer display systems, perhaps the most apparent is for structural studies of biological macromolecules (molecular graphics). Since the structure of the first protein (myoglobin, which contains 1400 non-hydrogen atoms) was solved by Sir John Kendrew and coworkers in 1962 by x-ray diffraction methods, no fewer than 80 different molecules of that size or larger have been solved. Probably in the next 5 years another 200 to 400 additional structures will be solved. These will include not only proteins, nucleic acids and polysaccharides, but complexes of these as well, where the total molecular weight may reach 10 to 50 times that of myoglobin (e.g. complete virus particles). The ultimate goals of the investigators are to discover the mechanism of action of these molecules and complexes, to predict three-dimensional structure and function of hypothetical molecules, and finally to be able to synthesize new macromolecules of new and predictable functions. In the past several years methods for solving large structures and refinement of models to observed crystallographic data have improved dramatically and will notably improve the accuracy of such models. It is quite clear that this improved accuracy will greatly aid reaching these objectives. Furthermore, these goals will only be possible if the present and future structural information can be thoroughly studied and assimilated. Computer graphics provides a reasonable hope and a sophisticated data base is an obvious necessity. Data base requirements for molecular graphics, not only those for display, manipulation and solving complex structures for they have been well demonstrated, but also those performing research studies on the accumulated results, are certainly within the grasp of current methods.
Preview
Unable to display preview. Download preview PDF.
Bibliography
Allen F.H., Kennard O., Motherwell W.D.S., Town W.G., and Watson D.G. (1973). Cambridge Crystallography data Centre, Part II, Structural Data File. Journal of Chemical Documents, 13,119–123
Bernstein F.C., Koetzle T.F., Williams G.J.B., Meyer E.F., Brice M.D., Rodgers J.R., Kennard O., Shimanacuchi T., Tasumi M. (1977). The protein data bank: A computer based archival file for macromolecular structures. Journal of Molecular Biology, 112,535–542
Feldman R.J., Bing D.H., Furie B.C., and Furie B. (1978). Interactive computer surface graphics approach to study of the active site of bovine trypsin. Proceedings of the National Academy of Sciences, USA, 75,5409–5412
Harrison S.C., Olson A.J., Schutt C.E., Winkler F.K., and Bricogne G. (1978). The tomato bushy stunt virus at 2.9 Å resolution. Nature, 276,368–373
Heller S.R., Milne G.W.A., and Feldman R.J. (1977). A computer based chemical information system. Science, 195,253–259
Hermans J., and McQueen J.E. (1974). Computer manipulation of macromolecules with the method of local change. Acta Cyrstallographica, A30,730–739
Kendrew J. (1963). The crystallographic structure of myoglobin. Science, 139,1259
Kraut J. (1977). Serine proteases: Structure and mechanism of catalysis. Annual Review of Biochemistry, 46,331–358
Levinthal C. (1966). Molecular model-building by computer. Scientific American, Vol. 214,6,42–52
Levinthal C., Wodak S.J., Kahn P., and Dadivanian A.K. (1975). Hemoglobin interaction in sickle cell fibers. I: Theoretical approaches to the molecular contacts. Proceedings of the National Academy of Sciences, USA, 72,1330–1334
Levitt M. (1978). Conformational preferences of amino acids in globular proteins. Biochemistry, 17,4277–4284
Metzler D.G. (1977). Biochemistry — The Chemical Reactions of Living Cells, Academic Press, New York
Rossmann M.G., and Argos P. (1978). The taxonomy of binding sites in proteins. Molecular and Cellular Biochemistry, 21,161–182
Sobell H.M., Tsai C.C., Jain S.C., and Gilbert S.G. (1977). Visuallization of drug-nucleic acid interactions at atomic resolution. Journal of Molecular Biology, 114,333–365
Stryer L. (1975). Biochemistry, W. H. Freeman, San Francisco
Templeton D., Johnson C., editors (1978). Computational methodology in crystallography: evaluation and extension. Report of the National Resource for Computation in Chemistry, Lawrence Berkeley Laboratory, University of California, Berkeley
Tsernoglou D., Petsko G.A., McQueen J.E., and Hermans J. (1977). Molecular Graphics: Application to the structure determination of snake venom neurotoxin. Science, 197,1378–1381
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1980 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hardman, K.D. (1980). Data base requirements for graphical applications in biochemistry. In: Blaser, A. (eds) Data Base Techniques for Pictorial Applications. Lecture Notes in Computer Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-09763-5_14
Download citation
DOI: https://doi.org/10.1007/3-540-09763-5_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-09763-1
Online ISBN: 978-3-540-38651-3
eBook Packages: Springer Book Archive