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Modelling of lysozyme binding to a cation exchange surface at atomic detail: the role of flexibility.

ABSTRACT: Different approaches were made to predict the adsorbed orientation based on rigid, flexible, or a mixture of both models. To determine the role of flexibility during adsorption, the orientation of lysozyme adsorbed to a negatively charged ligand surface was predicted by a rigid and a flexible model based on two differing protein structures at atomic resolution. For the rigid model, the protein structures were placed at different distances from the ligand surface and the electrostatic interaction energy was calculated for all possible orientations. The results were compared to a flexible model where the binding to the ligand surface was modeled by multiple molecular dynamics simulations starting with 14 initial orientations. Different aspects of the adsorption process were not covered by the rigid model and only detectable by the flexible model. Whereas the results of the rigid model depended sensitively on the protein-surface distance and the protein structure, the preferred orientation obtained by the flexible model was closer to a previous experimental determined orientation, robust toward the initial orientation and independent of the initial protein structure. Additionally, it was possible to obtain insights into the preferred binding process of lysozyme on a negatively charged surface by the flexible model.

SUBMITTER: Steudle A

PROVIDER: S-EPMC3123928 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Ligand binding sites in proteins are often localized to deeply buried cavities, inaccessible to bulk solvent. Yet, in many cases binding of cognate ligands occurs rapidly. An intriguing system is presented by the L99A cavity mutant of T4 Lysozyme (T4L L99A) that rapidly binds benzene (~106 M-1s-1). Although the protein has long served as a model system for protein thermodynamics and crystal structures of both free and benzene-bound T4L L99A are available, the kinetic pathways by which benzene reaches its solvent-inaccessible binding cavity remain elusive. The current work, using extensive molecular dynamics simulation, achieves this by capturing the complete process of spontaneous recognition of benzene by T4L L99A at atomistic resolution. A series of multi-microsecond unbiased molecular dynamics simulation trajectories unequivocally reveal how benzene, starting in bulk solvent, diffuses to the protein and spontaneously reaches the solvent inaccessible cavity of T4L L99A. The simulated and high-resolution X-ray derived bound structures are in excellent agreement. A robust four-state Markov model, developed using cumulative 60 μs trajectories, identifies and quantifies multiple ligand binding pathways with low activation barriers. Interestingly, none of these identified binding pathways required large conformational changes for ligand access to the buried cavity. Rather, these involve transient but crucial opening of a channel to the cavity via subtle displacements in the positions of key helices (helix4/helix6, helix7/helix9) leading to rapid binding. Free energy simulations further elucidate that these channel-opening events would have been unfavorable in wild type T4L. Taken together and via integrating with results from experiments, these simulations provide unprecedented mechanistic insights into the complete ligand recognition process in a buried cavity. By illustrating the power of subtle helix movements in opening up multiple pathways for ligand access, this work offers an alternate view of ligand recognition in a solvent-inaccessible cavity, contrary to the common perception of a single dominant pathway for ligand binding.

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Modelling of lysozyme binding to a cation exchange surface at atomic detail: the role of flexibility.

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