Abstract
We present geometric algorithms which tackle the docking problem in Molecular Biology. This problem is a central research topic both for synthetic drug design and for biomolecular recognition and interaction of proteins in general. Our algorithms have been implemented and experimented on several ‘real world’ biological examples. The preliminary experimental results show an order of magnitude improvement in the actual run-time of the algorithms in comparison to previously published techniques. The matching part of our algorithm is based on the Geometric Hashing technique, originally developed for Computer Vision applications. The algorithmic similarity between the problems emphasizes the importance of interdisciplinary research in Computational Molecular Biology. Future research directions are outlined as well.
Work on this paper was supported by grant No. 91-00219 from the US-Israel Binational Science Foundation (BSF), Jerusalem, Israel.
Work on this paper was supported by grant No. 89-00481 from the US-Israel Binational Science Foundation (BSF), Jerusalem, Israel and by a grant from the Basic Research Foundation of Tel Aviv University.
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Fischer, D., Norel, R., Nussinov, R., Wolfson, H.J. (1993). 3-D docking of protein molecules. In: Apostolico, A., Crochemore, M., Galil, Z., Manber, U. (eds) Combinatorial Pattern Matching. CPM 1993. Lecture Notes in Computer Science, vol 684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029794
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DOI: https://doi.org/10.1007/BFb0029794
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