Abstract
Key problems in computational biology, including protein and RNA folding and drug docking, involve conformational searching over multidimensional potential surfaces with very large numbers of local minima. This paper shows how statistics provided by the CGU global optimization algorithm can be used to characterize and interpret these topographies using a 2-dimensional landscape projection.
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© 2000 Springer Science+Business Media Dordrecht
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Phillips, A.T., Ben Rosen, J., Dill, K.A. (2000). Energy Landscape Projections of Molecular Potential Functions. In: Floudas, C.A., Pardalos, P.M. (eds) Optimization in Computational Chemistry and Molecular Biology. Nonconvex Optimization and Its Applications, vol 40. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3218-4_3
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DOI: https://doi.org/10.1007/978-1-4757-3218-4_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4826-7
Online ISBN: 978-1-4757-3218-4
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