Mar 14, 2017 · In this study, we present a high-order conditional random field model that considers burial states of all residues in a protein simultaneously.

Mar 14, 2017 · Conclusions: Our methods enable the accurate prediction of residue burial states, which should greatly facilitate protein structure prediction ...

Mar 14, 2017 · Our approach exploits not only the correlation among adjacent residues but also the correlation among long-range residues. Experimental results ...

CONCLUSIONS Our methods enable the accurate prediction of residue burial states, which should greatly facilitate protein structure prediction and evaluation.

Improving prediction of burial state of residues by exploiting correlation among residues ... Authors: Hai'e Gong; Haicang Zhang; Jianwei Zhu; Chao Wang; Shiwei ...

Conclusions: Our methods enable the accurate prediction of residue burial states, which should greatly facilitate protein structure prediction and evaluation.

Improving prediction of burial state of residues by exploiting correlation among residues. *Models, Theoretical. Burial states of residue. learning. Direct ...

Article: 71. Improving prediction of burial state of residues by exploiting correlation among residues. Authors (first, second and last of 7). Hai'e Gong ...

The buried residues usually form hydrophobic cores to maintain the structural integrity of proteins while the exposed residues are tightly related to protein ...

May 10, 2018 · We proposed a novel stochastic model for predicting protein-RNA residue-base contacts, and improved the prediction accuracy in terms of the AUC score.