Mechanism of Structural Tuning of the Hepatitis C Virus Human Cellular Receptor CD81 Large Extracellular Loop.

Hepatitis C virus (HCV) enters into human hepatocytes via tetraspanin hCD81. HCV glycoprotein E2 recognizes the "head" subdomain of the large extracellular loop (LEL) of CD81 (hCD81LEL), but the precise mechanism of virus cell attachment and entry remains elusive. Here, by combining the structural analysis of a conspicuous number of crystallized CD81LEL molecules with molecular dynamics simulations, we show that the conformational plasticity of the hCD81LEL head subdomain is a molecular property of the receptor. The observed closed, intermediate, and open conformations of the head subdomain provide distinct binding platforms. Simulations at pH 7.4 and 4.0 indicate that this dynamism is pH modulated. The crystallized double conformation of the disulfide bridge C157-C175 at the base of the head subdomain identifies this bond as the molecular zipper of the plasticity of hCD81LEL. We propose that this conformational dependence of hCD81LEL, which is finely tuned by pH and redox conditions, enables the virus-receptor interactions to diversely re-engage at endosomal conditions.

Residues Coevolution Guides the Systematic Identification of Alternative Functional Conformations in Proteins.

We present here a new approach for the systematic identification of functionally relevant conformations in proteins. Our fully automated pipeline, based on discrete molecular dynamics enriched with coevolutionary information, is able to capture alternative conformational states in 76% of the proteins studied, providing key atomic details for understanding their function and mechanism of action. We also demonstrate that, given its sampling speed, our method is well suited to explore structural transitions in a high-throughput manner, and can be used to determine functional conformational transitions at the entire proteome level.

PACSAB: Coarse-Grained Force Field for the Study of Protein-Protein Interactions and Conformational Sampling in Multiprotein Systems.

Molecular dynamics simulations of proteins are usually performed on a single molecule, and coarse-grained protein models are calibrated using single-molecule simulations, therefore ignoring intermolecular interactions. We present here a new coarse-grained force field for the study of many protein systems. The force field, which is implemented in the context of the discrete molecular dynamics algorithm, is able to reproduce the properties of folded and unfolded proteins, in both isolation, complexed forming well-defined quaternary structures, or aggregated, thanks to its proper evaluation of protein-protein interactions. The accuracy and computational efficiency of the method makes it a universal tool for the study of the structure, dynamics, and association/dissociation of proteins.

Exploration of conformational transition pathways from coarse-grained simulations.

MOTIVATION: A new algorithm to trace conformational transitions in proteins is presented. The method uses discrete molecular dynamics as engine to sample protein conformational space. A multiple minima Go-like potential energy function is used in combination with several enhancing sampling strategies, such as metadynamics, Maxwell Demon molecular dynamics and essential dynamics. The method, which shows an unprecedented computational efficiency, is able to trace a wide range of known experimental transitions. Contrary to simpler methods our strategy does not introduce distortions in the chemical structure of the protein and is able to reproduce well complex non-linear conformational transitions. The method, called GOdMD, can easily introduce additional restraints to the transition (presence of ligand, known intermediate, known maintained contacts, …) and is freely distributed to the community through the Spanish National Bioinformatics Institute (http://mmb.irbbarcelona.org/GOdMD). AVAILABILITY: Freely available on the web at http://mmb.irbbarcelona.org/GOdMD.

Efficient Relaxation of Protein-Protein Interfaces by Discrete Molecular Dynamics Simulations.

Protein-protein interactions are responsible for the transfer of information inside the cell and represent one of the most interesting research fields in structural biology. Unfortunately, after decades of intense research, experimental approaches still have difficulties in providing 3D structures for the hundreds of thousands of interactions formed between the different proteins in a living organism. The use of theoretical approaches like docking aims to complement experimental efforts to represent the structure of the protein interactome. However, we cannot ignore that current methods have limitations due to problems of sampling of the protein-protein conformational space and the lack of accuracy of available force fields. Cases that are especially difficult for prediction are those in which complex formation implies a non-negligible change in the conformation of the interacting proteins, i.e., those cases where protein flexibility plays a key role in protein-protein docking. In this work, we present a new approach to treat flexibility in docking by global structural relaxation based on ultrafast discrete molecular dynamics. On a standard benchmark of protein complexes, the method provides a general improvement over the results obtained by rigid docking. The method is especially efficient in cases with large conformational changes upon binding, in which structure relaxation with discrete molecular dynamics leads to a predictive success rate double that obtained with state-of-the-art rigid-body docking.

Finding Conformational Transition Pathways from Discrete Molecular Dynamics Simulations.

We present a new method for estimating pathways for conformational transitions in macromolecules from the use of discrete molecular dynamics and biasing techniques based on a combination of essential dynamics and Maxwell-Demon sampling techniques. The method can work with high efficiency at different levels of resolution, including the atomistic one, and can help to define initial pathways for further exploration by means of more accurate atomistic molecular dynamics simulations. The method is implemented in a freely available Web-based application accessible at http://mmb.irbbarcelona.org/MDdMD .