Free energy simulations to study mutational effect of a conserved residue, Trp24, on stability of human serum retinol-binding protein

Human serum retinol-binding protein (RBP) is a plasma transport protein for vitamin A. RBP is a prime subclass of lipocalins, which bind nonpolar ligands within a β-barrel. To understand the role of Trp 24, one of the highly conserved residues in RBP, free energy simulations have been carried out to understand the effects of the mutations from Trp at position 24 to Leu, Phe, and Tyr in the apo-RBP on its thermal stability. We examine various unfolded systems to study the dependence of the free energy differences on the denatured structure. Our calculated free energy difference values for the three mutations are in excellent agreement with the experimental values when the initial coordinates of the seven-residue peptide segments truncated from the crystal structure are used for the denatured systems. Our free energy change differences for the Trp→Leu, Trp→Phe, and Trp→Tyr mutations are 2.50 ± 0.69, 2.58 ± 0.50, and 2.49 ± 0.48 kcal/mol, respectively, when the native-like seven-residue peptides are used as models for the denatured systems. The main contributions to the free energy change differences for the Trp24→Leu and Trp24→Phe mutations are mainly from van der Waals and covalent interactions, respectively. Electrostatic, van der Waals and covalent terms equally contribute to the free energy change difference for the Trp24→Tyr mutation. The free energy simulation helps understand the detailed microscopic mechanism of the stability of the RBP mutants relative to the wild type and the role of the highly conserved residue, Trp24, of the human RBP.Communicated by Ramaswamy H. Sarma.

Free energy simulations to understand the effect of Met → Ala mutations at positions 205, 206 and 213 on stability of human prion protein

Prion diseases are a family of infectious amyloid diseases affecting human and animals. Prion propagation in transmissible spongiform encephalopathies is associated with the unfolding and conversion of normal cellular prion protein into its pathogenic scrapie form. Understanding the fundamentals of prion protein aggregation caused by mutations is crucial to unravel the pathology of prion diseases. To help understand the contributions of individual residues to the stability of the human prion protein, we have carried out free energy simulations based on atomistic molecular dynamics trajectories. We focus on Met → Ala mutations at positions 205, 206 and 213, which are mostly buried residues located on helix 3 of the protein. The simulations predicted that all three mutations destabilize the prion protein. Changes in unfolding free energy upon mutation, ∆∆G, are 3.10 ± 0.79, 2.00 ± 0.26 and 3.06 ± 0.66 kcal/mol for M205A, M206A and M213A, respectively, in excellent agreement with the corresponding experimental values of 3.09 ± 0.28, 1.50 ± 0.34 and 3.12 ± 0.27 kcal/mol [T. Hart et al. (2009) PNAS 106, 5651-5656]. Component analysis indicates that the major contributions to the loss of protein stability arise from van der Waals interactions for the M205A and M206A mutations, and from van der Waals and covalent energy terms for M213A. Interestingly, while free energy contributions from a majority of residues neighboring the mutation sites tend to stabilize the wild type, there are a few residues stabilizing the mutant side chains. Our results show that this approach to free energy calculation can be very useful for understanding the detailed mechanism of human prion protein stability.

Mechanism of recognition of parallel G-quadruplexes by DEAH/RHAU helicase DHX36 explored by molecular dynamics simulations

Because of high stability and slow unfolding rates of G-quadruplexes (G4), cells have evolved specialized helicases that disrupt these non-canonical DNA and RNA structures in an ATP-dependent manner. One example is DHX36, a DEAH-box helicase, which participates in gene expression and replication by recognizing and unwinding parallel G4s. Here, we studied the molecular basis for the high affinity and specificity of DHX36 for parallel-type G4s using all-atom molecular dynamics simulations. By computing binding free energies, we found that the two main G4-interacting subdomains of DHX36, DSM and OB, separately exhibit high G4 affinity but they act cooperatively to recognize two distinctive features of parallel G4s: the exposed planar face of a guanine tetrad and the unique backbone conformation of a continuous guanine tract, respectively. Our results also show that DSM-mediated interactions are the main contributor to the binding free energy and rely on making extensive van der Waals contacts between the GXXXG motifs and hydrophobic residues of DSM and a flat guanine plane. Accordingly, the sterically more accessible 5'-G-tetrad allows for more favorable van der Waals and hydrophobic interactions which leads to the preferential binding of DSM to the 5'-side. In contrast to DSM, OB binds to G4 mostly through polar interactions by flexibly adapting to the 5'-terminal guanine tract to form a number of strong hydrogen bonds with the backbone phosphate groups. We also identified a third DHX36/G4 interaction site formed by the flexible loop missing in the crystal structure.

In vitro studies on non-canonical DNA binding specificities of KAP6 and HMO1 and mechanistic insights into DNA bound and unbinding dynamics of KAP6

High mobility group box (HMGB) members are DNA binding proteins with varied functions present across kingdoms. The mechanism by which HMGBs with varying number of HMG boxes are able to carry out similar functions, are poorly understood. Moreover, how non-canonical DNAs are recognized by HMGB proteins is not clear. To address these, we carried out detailed biochemical and computational studies to characterize two HMGB members- Kinetoplast associated protein (KAP6) of Trypanosoma and High mobility group protein 1 (HMO1) from yeast. Here, we report that KAP6 binds non-canonical DNAs tighter than B-form DNA. Among non-canonical DNAs, KAP6 has the highest affinity for splayed and flap structures, but least for Holliday Junction (HJ). In contrast, HMO1 binds tighter to HJ. Computational analysis show that the secondary structural elements involved in DNA interaction are conserved in HMGB members KAP6 and mitochondrial transcription factor A. Simulation analyses revealed that the ~90° bend in DNA induced by KAP6 HMG box is a result of two ~45° bends, by Helix 1 and Helix 2 of the protein. Our data also suggests that the orthologs of HMO1 and KAP6 are oligomers in solution, which could be necessary for their functioning such as DNA bending and looping.

Toward Determining ATPase Mechanism in ABC Transporters: Development of the Reaction Path-Force Matching QM/MM Method

Adenosine triphosphate (ATP)-binding cassette (ABC) transporters are ubiquitous ATP-dependent membrane proteins involved in translocations of a wide variety of substrates across cellular membranes. To understand the chemomechanical coupling mechanism as well as functional asymmetry in these systems, a quantitative description of how ABC transporters hydrolyze ATP is needed. Complementary to experimental approaches, computer simulations based on combined quantum mechanical and molecular mechanical (QM/MM) potentials have provided new insights into the catalytic mechanism in ABC transporters. Quantitatively reliable determination of the free energy requirement for enzymatic ATP hydrolysis, however, requires substantial statistical sampling on QM/MM potential. A case study shows that brute force sampling of ab initio QM/MM (AI/MM) potential energy surfaces is computationally impractical for enzyme simulations of ABC transporters. On the other hand, existing semiempirical QM/MM (SE/MM) methods, although affordable for free energy sampling, are unreliable for studying ATP hydrolysis. To close this gap, a multiscale QM/MM approach named reaction path-force matching (RP-FM) has been developed. In RP-FM, specific reaction parameters for a selected SE method are optimized against AI reference data along reaction paths by employing the force matching technique. The feasibility of the method is demonstrated for a proton transfer reaction in the gas phase and in solution. The RP-FM method may offer a general tool for simulating complex enzyme systems such as ABC transporters.