Protein Crystallization Prediction

• 基于蛋白质接触图的结晶倾向性预测. 南京理工大学，硕士学位论文，王鹏浩, 2023. [PDF]

• Benchmarking Protein Language Models for Protein Crystallization. Bioxiv, 2024. [PDF] [Code]

• GCmapCrys: Integrating Graph Attention Network with Predicted Contact Map for Multi-Stage Protein Crystallization Propensity Prediction. Analytical Biochemistry, 2023. [PDF] [Code]

• SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks. Briefings in Bioinformatics, 2022. [PDF] [Code]

• ATTCry: Attention-based neural network model for protein crystallization prediction. Neurocomputing, 2021. [PDF] [Code]

• DCFCrystal: Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features. Briefings in Bioinformatics, 2021. [PDF] [Webserver]

• CLPred: a sequence-based protein crystallization predictor using BLSTM neural network. Bioinformatics, 2020. [PDF] [Code]

• BCrystal: an interpretable sequence-based protein crystallization predictor. Bioinformatics, 2019. [PDF] [Code]

• DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction. Bioinformatics, 2019. [PDF] [Code] [Webserver]

• TMCrys: predict propensity of success for transmembrane protein crystallization. Bioinformatics, 2018. [PDF] [Code]