OnD-CRF: predicting order and disorder in proteins conditional random fields. Motivation: Order and Disorder prediction using Conditional Random Fields (OnD-CRF) is a new method for accurately predicting the transition between structured and mobile or disordered regions in proteins. OnD-CRF applies CRFs relying on features which are generated from the amino acids sequence and from secondary structure prediction. Benchmarking results based on CASP7 targets, and evaluation with respect to several CASP criteria, rank the OnD-CRF model highest among the fully automatic server group. Availability:http://babel.ucmp.umu.se/ond-crf/

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References in zbMATH (referenced in 3 articles )

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  1. Tarafder, Sumit; Toukir Ahmed, Md.; Iqbal, Sumaiya; Tamjidul Hoque, Md; Sohel Rahman, M.: RBSURFpred: modeling protein accessible surface area in real and binary space using regularized and optimized regression (2018)
  2. Liu, Bin; Wang, Xiaolong; Lin, Lei; Tang, Buzhou; Dong, Qiwen; Wang, Xuan: Prediction of protein binding sites in protein structures using hidden Markov support vector machine (2009) ioport
  3. Wang, Lixiao; Sauer, Uwe H.: Ond-CRF: Predicting order and disorder in proteins conditional random fields. (2008) ioport