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Effect of solvent and protein dynamics in ligand recognition and inhibition of aminoglycoside adenyltransferase 2?-Ia.

ABSTRACT: The aminoglycoside modifying enzyme (AME) ANT(2?)-Ia is a significant target for next generation antibiotic development. Structural studies of a related aminoglycoside-modifying enzyme, ANT(3?)(9), revealed this enzyme contains dynamic, disordered, and well-defined segments that modulate thermodynamically before and after antibiotic binding. Characterizing these structural dynamics is critical for in situ screening, design, and development of contemporary antibiotics that can be implemented in a clinical setting to treat potentially lethal, antibiotic resistant, human infections. Here, the first NMR structural ensembles of ANT(2?)-Ia are presented, and suggest that ATP-aminoglycoside binding repositions the nucleotidyltransferase (NT) and C-terminal domains for catalysis to efficiently occur. Residues involved in ligand recognition were assessed by site-directed mutagenesis. In vitro activity assays indicate a critical role for I129 toward aminoglycoside modification in addition to known catalytic D44, D46, and D48 residues. These observations support previous claims that ANT aminoglycoside sub-class promiscuity is not solely due to binding cleft size, or inherent partial disorder, but can be controlled by ligand modulation on distinct dynamic and thermodynamic properties of ANTs under cellular conditions. Hydrophobic interactions in the substrate binding cleft, as well as solution dynamics in the C-terminal tail of ANT(2?)-Ia, advocate toward design of kanamycin-derived cationic lipid aminoglycoside analogs, some of which have already shown antimicrobial activity in vivo against kanamycin and gentamicin-resistant P. aeruginosa. This data will drive additional in silico, next generation antibiotic development for future human use to combat increasingly prevalent antimicrobial resistance.

SUBMITTER: Bacot-Davis VR

PROVIDER: S-EPMC5563142 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Effect of solvent and protein dynamics in ligand recognition and inhibition of aminoglycoside adenyltransferase 2″-Ia.

Bacot-Davis Valjean R VR Bassenden Angelia V AV Sprules Tara T Berghuis Albert M AM

Protein science : a publication of the Protein Society 20170721 9

The aminoglycoside modifying enzyme (AME) ANT(2″)-Ia is a significant target for next generation antibiotic development. Structural studies of a related aminoglycoside-modifying enzyme, ANT(3″)(9), revealed this enzyme contains dynamic, disordered, and well-defined segments that modulate thermodynamically before and after antibiotic binding. Characterizing these structural dynamics is critical for in situ screening, design, and development of contemporary antibiotics that can be implemented in a ...[more]

PMID: 28734024

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Project description:Molecular dynamics (MD) simulation of biologically relevant processes at realistic time scale and atomistic precision is generally limited by prohibitively large computational cost, due to its restriction of using an ultrashort integration time step (1-2 fs). A popular numerical recipe to reduce the associated computational burden is adopting schemes that would allow relatively longer-time-step for MD propagation. Here, we explore the perceived potential of one of the most frequently used long-time-step protocols, namely the hydrogen mass repartitioning (HMR) approach, in alleviating the computational overhead associated with simulation of the kinetic process of protein-ligand recognition events. By repartitioning the mass of heavier atoms to their linked hydrogen atoms, HMR leverages around twofold longer time step than regular simulation, holding promise of significant performance boost. However, our probe into direct simulation of the protein-ligand recognition event, one of the computationally most challenging processes, shows that long-time-step HMR MD simulations do not necessarily translate to a computationally affordable solution. Our investigations spanning cumulative 176 μs in three independent proteins (T4 lysozyme, sensor domain of MopR, and galectin-3) show that long-time-step HMR-based MD simulations can catch the ligand in its act of recognizing the native cavity. But, as a major caveat, the ligand is found to require significantly longer time to identify buried native protein cavity in an HMR MD simulation than regular simulation, thereby defeating the purpose of its usage for performance upgrade. A molecular analysis shows that the longer time required by a ligand to recognize the protein in HMR is rooted in faster diffusion of the ligand, which reduces the survival probability of decisive on-pathway metastable intermediates, thereby slowing down the eventual recognition process at the native cavity. Together, the investigation stresses careful assessment of pitfalls of long-time-step algorithms before attempting to utilize them for higher performance for biomolecular recognition simulations.

Dataset Information

Effect of solvent and protein dynamics in ligand recognition and inhibition of aminoglycoside adenyltransferase 2?-Ia.

Publications

Effect of solvent and protein dynamics in ligand recognition and inhibition of aminoglycoside adenyltransferase 2″-Ia.

Similar Datasets

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