title: Quantitative analysis of substrate specificity of haloalkane dehalogenase LinB from Sphingomonas paucimobilis UT26.
abstract: Haloalkane dehalogenases are microbial enzymes that cleave a carbon-halogen bond in halogenated compounds. The haloalkane dehalogenase LinB, isolated from Sphingomonas paucimobilis UT26, is a broad-specificity enzyme. Fifty-five halogenated aliphatic and cyclic hydrocarbons were tested for dehalogenation with the LinB enzyme. The compounds for testing were systematically selected using a statistical experimental design. Steady-state kinetic constants K(m) and k(cat) were determined for 25 substrates that showed detectable cleavage by the enzyme and low abiotic hydrolysis. Classical quantitative structure-activity relationships (QSARs) were used to correlate the kinetic constants with molecular descriptors and resulted in a model that explained 94% of the experimental data variability. The binding affinity of the tested substrates for this haloalkane dehalogenase correlated with hydrophobicity, molecular surface, dipole moment, and volume:surface ratio. Binding of the substrate molecules in the active site pocket of LinB depends nonlinearly on the size of the molecules. Binding affinity increases with increasing substrate size up to a chain length of six carbon atoms and then decreases. Comparative binding energy (COMBINE) analysis was then used to identify amino acid residues in LinB that modulate its substrate specificity. A model with three statistically significant principal components explained 95% of the experimental data variability. van der Waals interactions between substrate molecules and the enzyme dominated the COMBINE model, in agreement with the importance of substrate size in the classical QSAR model. Only a limited number of protein residues (6-8%) contribute significantly to the explanation of variability in binding affinities. The amino acid residues important for explaining variability in binding affinities are as follows: (i) first-shell residues Asn38, Asp108, Trp109, Glu132, Ile134, Phe143, Phe151, Phe169, Val173, Trp207, Pro208, Ile211, Leu248, and His272, (ii) tunnel residues Pro144, Asp147, Leu177, and Ala247, and (iii) second-shell residues Pro39 and Phe273. The tunnel and the second-shell residues represent the best targets for modulating specificity since their replacement does not lead to loss of functionality by disruption of the active site architecture. The mechanism of molecular adaptation toward a different specificity is discussed on the basis of quantitative comparison of models derived for two protein family members.
authors.affiliation: National Centre for Biomolecular Research, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic.
authors.forename: Jan
authors.initials: J
authors.lastname: Kmunícek
authors.forename: Kamila
authors.initials: K
authors.lastname: Hynková
authors.forename: Tomás
authors.initials: T
authors.lastname: Jedlicka
authors.forename: Yuji
authors.initials: Y
authors.lastname: Nagata
authors.forename: Ana
authors.initials: A
authors.lastname: Negri
authors.forename: Federico
authors.initials: F
authors.lastname: Gago
authors.forename: Rebecca C
authors.initials: RC
authors.lastname: Wade
authors.forename: Jirí
authors.initials: J
authors.lastname: Damborský
mesh_terms: D000473:Alkanes / Q000737:chemistry* / Q000378:metabolism; D001665:Binding Sites; D002384:Catalysis; D019295:Computational Biology / Q000379:methods; D018360:Crystallography, X-Ray; D006846:Hydrocarbons, Halogenated / Q000737:chemistry* / Q000378:metabolism; D006867:Hydrolases / Q000737:chemistry* / Q000378:metabolism; D007700:Kinetics; D008956:Models, Chemical; D008958:Models, Molecular; D015233:Models, Statistical; D015999:Multivariate Analysis; D021281:Quantitative Structure-Activity Relationship; D011789:Quantum Theory; D020578:Sphingomonas / Q000201:enzymology*; D013379:Substrate Specificity; D013816:Thermodynamics
chemical_list: D000473:Alkanes; D006846:Hydrocarbons, Halogenated; D006867:Hydrolases; C046137:haloalkane dehalogenase