Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

By Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang. 2016

99 citations recorded by the source corpus.

Subfields: Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Kuldip K. Paliwal
2. Jack Hanson
3. Yaoqi Zhou
4. Yuedong Yang
5. Jinbo Xu
6. Sheng Wang
7. Thomas Litfin
8. Jianlin Cheng

Citations in the corpus

• SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning (2019, neutral): “[40,41].”
• Improving protein disorder prediction by deep bidirectional long short‐term memory recurrent neural networks (2016, methodology): “…pairwise contact prediction (Di Lena et al. , 2012; Eickholt and Cheng, 2012), secondary structure and solvent accessible surface-area prediction (Heffernan et al. , 2015, 2016; Paliwal et al. , 2015; Qi et al. , 2012) and protein disorder prediction (Eickholt and Cheng, 2013; Paliwal et al. ,…”