About 20 years ago a very important paper on prediction of tight turns and their types in proteins [1] was published. According to the definition given in that paper, a tight turn in protein structure is a site where (1) a polypeptide chain reverses its overall direction, i.e., leads the chain to fold back on itself by nearly 180°, and (2) the amino acid residues directly involved in forming the turn are no more than six. In the same paper, various types of tight turns and how to predict them have been systematically reviewed.
Ever since then, this paper has played very important role for building protein three dimensional (3D) models for drug development [2,3,4,5,6,7,8,9,10.11,12,13,14].
Chou K.C. Prediction of tight turns and their types in proteins. Analytical Biochemistry 286.1 (2000): 1–16.
Chou K.C., and Howe W.J. Prediction of the tertiary structure of the β-secretase zymogen. Biochemical and Biophysical Research Communications 292.3 (2002): 702–708.
Chou K.C. Modelling extracellular domains of GABA-A receptors: subtypes 1, 2, 3, and 5. Biochemical and Biophysical Research Communications 316.3 (2004): 636–642.
Chou K.C. Insights from modelling the 3D structure of the extracellular domain of α7 nicotinic acetylcholine receptor. Biochemical and Biophysical Research Communications 319.2 (2004): 433–438.
Chou K.C. Insights from modeling three-dimensional structures of the human potassium and sodium channels. Journal of Proteome Research 3.4 (2004): 856–861.
Chou K.C. Insights from modelling the tertiary structure of BACE2. Journal of Proteome Research 3 (2004).
Chou K.C. Insights from modelling the 3D structure of the extracellular domain of alpha7 nicotinic acetylcholine receptor. Biochemical and Biophysical Research Communications 319 (2004): 433–438.
Chou K.C. Modeling the tertiary structure of human cathepsin-E. Biochemical and Biophysical Research Communications 331 (2005): 56–60.
Wei D.Q. et al. Insights from modeling the 3D structure of H5N1 influenza virus neuraminidase and its binding interactions with ligands. Biochemical and Biophysical Research Communications 344.3 (2006): 1048–1055.
Wang J.F. et al. 3D structure modeling of cytochrome P450 2C19 and its implication for personalized drug design. Biochemical and Biophysical Research Communications 355.2 (2007): 513–519.
Wang J.F. et al. Insights from modeling the 3D structure of NAD(P)H-dependent D-xylose reductase of Pichia stipitis and its binding interactions with NAD and NADP. Biochemical and Biophysical Research Communications 359.2 (2007): 323–329.
Wang S.Q. et al. Study of drug resistance of chicken influenza A virus (H5N1) from homology-modeled 3D structures of neuraminidases. Biochemical and Biophysical Research Communications 354.3 (2007): 634–640.
Shen H.B. et al. Knowledge-based computational intelligence development for predicting protein secondary structures from sequences. Expert Review of Proteomics 5.5 (2008): 653–662.
Du Q.S. et al. Computational 3D structures of drug-targeting proteins in the 2009-H1N1 influenza A virus. Chemical Physics Letters 485.1–3 (2010): 191–195.
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