DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.

DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.

Blog Article

The precise prediction of protein intrinsically disordered regions, which play a crucial role in biological procedures, is a necessary prerequisite to further the understanding of the principles and mechanisms of protein function.Here, we propose a novel predictor, DisoMCS, which is a more Plastic Medium Weight Cutlery accurate predictor of protein intrinsically disordered regions.The DisoMCS bases on an original multi-class conservative score (MCS) obtained by sequence-order/disorder alignment.Initially, near-disorder regions are defined on fragments located at both the terminus of an ordered region connecting a disordered region.Then the multi-class conservative score is generated by sequence alignment against a known structure database and represented as order, near-disorder and disorder conservative scores.

The MCS of each amino acid has three elements: order, near-disorder and disorder profiles.Finally, the MCS is exploited as features to identify disordered regions in sequences.DisoMCS utilizes a non-redundant data set as the training set, MCS and predicted secondary structure as features, and a conditional random field as the classification algorithm.In predicted near-disorder regions a residue is determined as an order or a disorder according to the optimized decision threshold.DisoMCS was evaluated by cross-validation, large-scale prediction, independent tests and CASP (Critical Assessment of Techniques for GOLD X GEL PACK Protein Structure Prediction) tests.

All results confirmed that DisoMCS was very competitive in terms of accuracy of prediction when compared with well-established publicly available disordered region predictors.It also indicated our approach was more accurate when a query has higher homologous with the knowledge database.The DisoMCS is available at http://cal.tongji.edu.

cn/disorder/.