Computationally identifying hot spots in protein-DNA binding interfaces using an ensemble approach

[31] Wang W(1983)Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features Biopolymers Orig Res Biomol 22 2577-9

[32] Pires DE(2019)Netsurfp-2.0: Improved prediction of protein structural features by integrated deep learning Proteins Struct Funct Bioinforma 87 520-91

[33] Ascher DB(2017)Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility Bioinformatics 33 2842-692

[34] Zhang S(2012)Structural features that predict real-value fluctuations of globular proteins Proteins Struct Funct Bioinforma 80 1425-5

[35] Zhao L(2007)Predicting functionally important residues from sequence conservation Bioinformatics 23 1875-32

[36] Zheng C-H(2000)AAindex: amino acid index database Nucleic Acids Res 28 374-422

[37] Xia J(1992)Amino acid substitution matrices from protein blocks Proc Natl Acad Sci 89 10915-48

[38] Kumar MS(2004)Relationship between local structural entropy and protein thermostabilty Proteins Struct Funct Bioinforma 57 684-undefined

[39] Bava KA(2016)Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks Bioinformatics 33 685-undefined

[40] Gromiha MM(2016)Raptorx-property: a web server for protein structure property prediction Nucleic Acids Res 44 430-undefined

[31] Wang W(1983)Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features Biopolymers Orig Res Biomol 22 2577-9

[32] Pires DE(2019)Netsurfp-2.0: Improved prediction of protein structural features by integrated deep learning Proteins Struct Funct Bioinforma 87 520-91

[33] Ascher DB(2017)Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility Bioinformatics 33 2842-692

[34] Zhang S(2012)Structural features that predict real-value fluctuations of globular proteins Proteins Struct Funct Bioinforma 80 1425-5

[35] Zhao L(2007)Predicting functionally important residues from sequence conservation Bioinformatics 23 1875-32

[36] Zheng C-H(2000)AAindex: amino acid index database Nucleic Acids Res 28 374-422

[37] Xia J(1992)Amino acid substitution matrices from protein blocks Proc Natl Acad Sci 89 10915-48

[38] Kumar MS(2004)Relationship between local structural entropy and protein thermostabilty Proteins Struct Funct Bioinforma 57 684-undefined

[39] Bava KA(2016)Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks Bioinformatics 33 685-undefined

[40] Gromiha MM(2016)Raptorx-property: a web server for protein structure property prediction Nucleic Acids Res 44 430-undefined