Additionally, the toolbox shows information about the query structure when needed (submit a job or extract a motif). Additionally, target lists uploaded by the user are analyzed. When the calculation is finished, some statistics of the results are presented (e.g. intra-/inter-molecular occurrences, maximal/minimal RMSD values). Furthermore, the user can recapitulate the original parameters of the job when inspecting the results.
The theory behind the Fit3D algorithm was recently published in Journal of Computational Biology. Check out the paper to learn how our method works and to see how it performs in contrast to existing approaches.
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Kaiser, F., Eisold, A., Labudde, D. (2015) A novel algorithm for enhanced structural motif matching in proteins, J. Comput. Biol., 22, 698-713. | ||
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Kaiser, F., Eisold, A., Bittrich, S., Labudde, D. (2016) Fit3D: a web application for highly accurate screening of spatial residue patterns in protein structure data, Bioinformatics, 32-5, 792–794. | ||
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