arXiv subjects

Trinh Xuan Hoang

Publications and source records attributed to Trinh Xuan Hoang.

34 records · Page 2Linked to original sources

arXiv2003

Stretching of Proteins in the Entropic Limit

Mechanical stretching of six proteins is studied through molecular dynamics simulations. The model is Go-like, with Lennard-Jones interactions at native contacts. Low temperature unfolding scenarios are remarkably complex and sensitive to small structural changes. Thermal fluctuations reduce the peak forces and the number of metastable states during unfolding. The unfolding pathways also simplify as temperature rises. In the entropic limit, all proteins show a monotonic decrease of the extension where bonds rupture with their separation along the backbone (contact order).

q-bio.BM↗

arXiv2003

Folding of Proteins in Go Models with Angular Interactions

Molecular dynamics studies of Go models of proteins with the 10-12 contact potential and the bond and dihedral angle terms indicate statistical similarities to other Go models, e.g. with the Lennard-Jones contact potentials. The folding times depend on the protein size as power laws with the exponents depending on the native structural classes. There is no dependence of the folding times on the relative contact order even though the folding scenarios are governed mostly by the contact order.

cond-mat.stat-mech↗

arXiv2002

Universality classes in folding times of proteins

Molecular dynamics simulations in simplified models allow one to study the scaling properties of folding times for many proteins together under a controlled setting. We consider three variants of the Go models with different contact potentials and demonstrate scaling described by power laws and no correlation with the relative contact order parameter. We demonstrate existence of at least three kinetic universality classes which are correlated with the types of structure: the alpha-, alpha--beta-, and beta- proteins have the scaling exponents of about 1.7, 2.5, and 3.2 respectively. The three classes merge into one when the contact range is truncated at a 'reasonable' value. We elucidate the role of the potential associated with the chirality of a protein.

cond-mat.stat-mech↗

arXiv2002

The range of the contact interactions and the kinetics of the Go models of proteins

We consider two types of Go models of a protein (crambin) and study their kinetics through molecular dynamics simulations. In the first model, the residue -- residue contact interactions are selected based on a cutoff distance, $R_c$, between the C$_α$ atoms. The folding times depend on the value of $R_c$ strongly and non-monotonically due to the interplay between frustration and the free energy barrier for folding. This indicates a need for a physically determined set of native contacts that takes into account all the residual atoms. %%. One may accomplish it This can be accomplished by considering the van der Waals radii of the atoms and checking if %%the atoms overlap. they are found within a proper range of the van der Waals attraction. In the second model, non-native attractive contacts are added to the system. This leads to bad foldability. However, for a small number of such extra contacts there is a slight acceleration in the kinetics of folding.

cond-mat↗

arXiv2002

Prediction of Protein Secondary Structures From Conformational Biases

We use LINUS, a procedure developed by Srinivasan and Rose, to provide a physical interpretation of and to predict the secondary structures of proteins. The secondary structure type at a given site is identified by the largest conformational bias during short time simulations. We examine the rate of successful prediction as a function of temperature and the interaction window. At high temperatures, there is a large propensity for the establishment of $β$-strands whereas $α$-helices appear only when the temperature is lower than a certain threshold value. It is found that there exists an optimal temperature at which the correct secondary structures are predicted most accurately. We find that this temperature is close to the peak temperature of the specific heat. Changing the interaction window or carrying out longer simulations approaching equilibrium lead to little change in the optimal success rate. Our findings are in accord with the observation by Srinivasan and Rose that the secondary structures are mainly determined by local interactions and they appear in the early stage of folding.

cond-mat.stat-mech↗

arXiv2002

Folding Pathways of Prion and Doppel

The relevance of various residue positions for the stability and the folding characteristics of the prion protein are investigated by using molecular dynamics simulations of models exploiting the topology of the native state. Highly significant correlations are found between the most relevant sites in our analysis and the single point mutations known to be associated with the arousal of the genetic forms of prion disease (caused by the conformational change from the cellular to the scrapie isoform). Considerable insight into the conformational change is provided by comparing the folding process of prion and doppel (a newly discovered protein) sharing very similar native state topology: the folding pathways of the former can be grouped in two main classes according to which tertiary structure contacts are formed first enroute to the native state. For the latter a single class of pathways leads to the native state. Our results are consistent and supportive of the recent experimental findings that doppel lacks the scrapie isoform and that such remarkably different behavior results from differences in the region containing the two $β-$strands and the intervening helix.

cond-mat.stat-mech↗

arXiv2001

Thermal Folding and Mechanical Unfolding Pathways of Protein Secondary Structures

Mechanical stretching of secondary structures is studied through molecular dynamics simulations of a Go-like model. Force vs. displacement curves are studied as a function of the stiffness and velocity of the pulling device. The succession of stretching events, as measured by the order in which contacts are ruptured, is compared to the sequencing of events during thermal folding and unfolding. Opposite cross-correlations are found for an $α$-helix and a $β$-hairpin structure. In a tandem of two $α$-helices, the two constituent helices unravel nearly simultaneously. A simple condition for simultaneous vs. sequential unraveling of repeat units is presented.

cond-mat.soft↗

arXiv2001

Folding and Stretching in a Go-like Model of Titin

Mechanical stretching of the I27 domain of titin and of its double and triple repeats are studied through molecular dynamics simulations of a Go-like model with Lennard-Jones contact interactions. We provide a thorough characterization of the system and correlate the sequencing of the folding and unraveling events with each other and with the contact order. The roles of cantilever stiffness and pulling rate are studied. Unraveling of tandem titin structures has a serial nature. The force-displacement curves in this coarse-grained model are similar to those obtained through all atom calculations.

cond-mat.stat-mech↗

arXiv2001

Kinetic non-optimality and vibrational stability of proteins

Scaling of folding times in Go models of proteins and of decoy structures with the Lennard-Jones potentials in the native contacts reveal %robust power law trends when studied under optimal folding conditions. The power law exponent depends on the type of native geometry. Its value indicates lack of kinetic optimality in the model proteins. In proteins, mechanical and thermodynamic stabilities are correlated.

cond-mat.stat-mech↗

arXiv2000

Sequencing of folding events in Go-like proteins

We have studied folding mechanisms of three small globular proteins: crambin (CRN), chymotrypsin inhibitor 2 (CI2) and the fyn Src Homology 3 domain (SH3) which are modelled by a Go-like Hamiltonian with the Lennard-Jones interactions. It is shown that folding is dominated by a well-defined sequencing of events as determined by establishment of particular contacts. The order of events depends primarily on the geometry of the native state. Variations in temperature, coupling strengths and viscosity affect the sequencing scenarios to a rather small extent. The sequencing is strongly correlated with the distance of the contacting aminoacids along the sequence. Thus $α$-helices get established first. Crambin is found to behave like a single-route folder, whereas in CI2 and SH3 the folding trajectories are more diversified. The folding scenarios for CI2 and SH3 are consistent with experimental studies of their transition states.

cond-mat.stat-mech↗

arXiv2000

Molecular dynamics of folding of secondary structures in Go-type models of proteins

We consider six different secondary structures of proteins and construct two types of Go-type off-lattice models: with the steric constraints and without. The basic aminoacid-aminoacid potential is Lennard Jones for the native contacts and a soft repulsion for the non-native contacts. The interactions are chosen to make the target secondary structure be the native state of the system. We provide a thorough equilibrium and kinetic characterization of the sequences through the molecular dynamics simulations with the Langevin noise. Models with the steric constraints are found to be better folders and to be more stable, especially in the case of the $β$-structures. Phononic spectra for vibrations around the native states have low frequency gaps that correlate with the thermodynamic stability. Folding of the secondary structures proceeds through a well defined sequence of events. For instance, $α$-helices fold from the ends first. The closer to the native state, the faster establishment of the contacts. Increasing the system size deteriorates the folding characteristics. We study the folding times as a function of viscous friction and find a regime of moderate friction with the linear dependence. We also consider folding when one end of a structure is pinned which imitates instantaneous conditions when a protein is being synthesized. We find that, under such circumstances, folding of helices is faster and of the $β$-sequences slower.

cond-mat.stat-mech↗

arXiv1999

Spin analogs of proteins: scaling of "folding" properties

Reaching a ground state of a spin system is analogous to a protein evolving into its native state. We study the ``folding'' times for various random Ising spin systems and determine characteristic temperatures that relate to the ``folding''. Under optimal kinetic conditions, the ``folding'' times scale with the system size as a power law with a non-universal exponent. This is similar to what happens in model proteins. On the other hand, the scaling behavior of the characteristic temperatures is different than in model proteins. Both in the spin systems and in proteins, the folding properties deteriorate with the system size.

cond-mat.stat-mech↗

arXiv1999

Energy landscapes, supergraphs, and "folding funnels" in spin systems

Dynamical connectivity graphs, which describe dynamical transition rates between local energy minima of a system, can be displayed against the background of a disconnectivity graph which represents the energy landscape of the system. The resulting supergraph describes both dynamics and statics of the system in a unified coarse-grained sense. We give examples of the supergraphs for several two dimensional spin and protein-related systems. We demonstrate that disordered ferromagnets have supergraphs akin to those of model proteins whereas spin glasses behave like random sequences of aminoacids which fold badly.

cond-mat.stat-mech↗

arXiv1999

Scaling of folding properties in simple models of proteins

Scaling of folding properties of proteins is studied in a toy system -- the lattice Go model with various two- and three- dimensional geometries of the maximally compact native states. Characteristic folding times grow as power laws with the system size. The corresponding exponents are not universal. Scaling of the thermodynamic stability also indicates size-related deterioration of the folding properties.

cond-mat.stat-mech↗

arXiv1998

Protein folding and models of dynamics on the lattice

We study folding in 16-monomer heteropolymers on the square lattice. For a given sequence, thermodynamic properties and stability of the native state are unique. However, the kinetics of folding depends on the model of dynamics adopted for the time evolution of the system. We consider three such models: Rouse-like dynamics with either single monomer moves or with single and double monomer moves, and the 'slithering snake' dynamics. Usually, the snake dynamics has poorer folding properties compared to the Rouse-like dynamics, but examples of opposite behavior can also be found. This behavior relates to which conformations act as local energy minima when their stability is checked against the moves of a particular dynamics. A characteristic temperature related to the combined probability, $P_L$, to stay in the non-native minima during folding coincides with the temperature of the fastest folding. Studies of $P_L$ yield an easy numerical way to determine conditions of the optimal folding.

cond-mat.stat-mech↗

arXiv1998

Coarse grained description of the protein folding

We consider two- and three-dimensional lattice models of proteins which were characterized previously. We coarse grain their folding dynamics by reducing it to transitions between effective states. We consider two methods of selection of the effective states. The first method is based on the steepest descent mapping of states to underlying local energy minima and the other involves an additional projection to maximally compact conformations. Both methods generate connectivity patterns that allow to distinguish between the good and bad folders. Connectivity graphs corresponding to the folding funnel have few loops and are thus tree-like. The Arrhenius law for the median folding time of a 16-monomer sequence is established and the corresponding barrier is related to easily identifiable kinetic trap states.

cond-mat.stat-mech↗