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BioMed Research International
Volume 2015, Article ID 678764, 10 pages
Research Article

AcconPred: Predicting Solvent Accessibility and Contact Number Simultaneously by a Multitask Learning Framework under the Conditional Neural Fields Model

1Toyota Technological Institute at Chicago, 6045 S. Kenwood Avenue, Chicago, IL 60637, USA
2Department of Human Genetics, University of Chicago, E. 58th Street, Chicago, IL 60637, USA

Received 27 December 2014; Accepted 11 March 2015

Academic Editor: Min Li

Copyright © 2015 Jianzhu Ma and Sheng Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Training/testing dataset as well as the CASP11 evaluation dataset could be found in the Supplementary Material. The CASP11 evaluation dataset contains all detailed results from SPINE-X, SANN, ACCpro5 and AcconPred.

  1. Supplementary Material