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anti-phosphonate hydrolytic antibody catalytic site augmented by non-reaction centre recognition: Variation in substrate selectivity between an anti-phosphonate antibody, an anti-phosphate
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Whitehurst, R. J., & van Oort, M. (2009). Enzymes in Food Technology (2nd ed.). Chichester, UK:
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Yadav, S. K., & Tiwari, A. K. (2015). Classification of enzymes using machine learning based
approaches: A review. Machine Learning and Applications: An International Journal, 2, 30–49.
Yousef, M. S., Clark, S. A., Pruett, P. K., Somasundaram, T., Ellington, W. R., & Chapman,
M. S. (2003). Induced fit in guanidino kinases – Comparison of substrate-free and transition
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S. A. Rather et al.
Soding, J., Biegert, A., & Lupas, A. (2005). The HHpred interactive server for protein homology
detection and structure prediction. Nucleic Acids Research, 33, 244–248.
Sonkaria, S., Boucher, G., & Fl’orez-Alvarez, J. (2004). Evidence for ‘lock and key character in an
anti-phosphonate hydrolytic antibody catalytic site augmented by non-reaction centre recognition: Variation in substrate selectivity between an anti-phosphonate antibody, an anti-phosphate
antibody and two hydrolytic enzymes. The Biochemical Journal, 381, 125–130.
Sykes, E. D., & Weiner, J. H. (1980). Biosynthesis and 19F NMR characterization of fluoro
amino acid containing proteins. In J. S. Cohen (Ed.), Magnetic resonance in biology (Vol. 1,
pp. 1–196). New York, NY: Wiley.
Union of Pure, I. & Applied Chemistry. (2005–2009). IUPAC compendium of chemical terminology - The gold book. http://goldbook.iupac.org/.
UniProt Consortium. (2013). Update on activities at the Universal Protein Resource (UniProt) in
2013. Nucleic Acids Research, 41, D43–D47.
Wang, Y. C., Wang, Y., Yang, Z. X., & Deng, N. Y. (2011). Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. BMC Systems
Biology, 5, S6.
Whitehurst, R. J., & van Oort, M. (2009). Enzymes in Food Technology (2nd ed.). Chichester, UK:
Wiley-Blackwell.
Yadav, S. K., & Tiwari, A. K. (2015). Classification of enzymes using machine learning based
approaches: A review. Machine Learning and Applications: An International Journal, 2, 30–49.
Yousef, M. S., Clark, S. A., Pruett, P. K., Somasundaram, T., Ellington, W. R., & Chapman,
M. S. (2003). Induced fit in guanidino kinases – Comparison of substrate-free and transition
state analog structures of arginine kinase. Protein Science, 12, 103–111.
S. A. Rather et al.