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. 2004 Sep 16;21(4):483–491. doi: 10.1093/bioinformatics/bti028

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Bioinformatics vol. 21 issue 4 © Oxford University Press 2005; all rights reserved.

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

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Fig. 1 — The neural network architecture of SPAAN. A given protein sequence was processed through five modules, A, C, D, H and M, to quantify the five types of compositional attributes. A, Amino acid frequencies; C, Charge composition; D, Dipeptide frequencies; H, Hydrophobic composition; and M, Multiplet frequencies. The sequence shown is part of the FimH precursor (gi 5524634) of E.coli. The direction of arrows show data flow.