Accurate Multi-Stage Prediction of Protein Crystallization Propensity Using Deep-Cascade Forest with Sequence-Based Features
 | Read Me | Dataset | Citation |
Input query protein sequence(s) in FASTA format:
Server accepts up to 100 protein sequences with lengths less than 1000
           
Choose a predictor  (Help)
DCFCrystal (For General Protein) MDCFCrystal (For Membrane Protein)
Choose a prediction mode (for DCFCrystal)  (Help)
  Serial Prediction a Parallel Prediction b
a All of the sub-predictors of DCFCrystal are serially executed.
b All of the sub-predictors of DCFCrystal are parallelly executed.
Email  Address (For receiving your prediction results)*

                                                     
Reference:
Yi-Heng Zhu, Jun Hu, Fang Ge, Fuyi Li, Jiangning Song*, Yang Zhang*, Dong-Jun Yu*. Accurate Multi-Stage Prediction of Protein Crystallization Propensity Using Deep-Cascade Forest with Sequence-Based Features. Briefings in Bioinformatics. 2021, 22(3): bbaa076.
Contact @ Dong-Jun Yu
Programmed by Yi-Heng Zhu