arXiv subjects

Fei Liu

Publications and source records attributed to Fei Liu.

338 records · Page 19Linked to original sources

arXiv2009

Fuzzy Linguistic Logic Programming and its Applications

The paper introduces fuzzy linguistic logic programming, which is a combination of fuzzy logic programming, introduced by P. Vojtas, and hedge algebras in order to facilitate the representation and reasoning on human knowledge expressed in natural languages. In fuzzy linguistic logic programming, truth values are linguistic ones, e.g., VeryTrue, VeryProbablyTrue, and LittleFalse, taken from a hedge algebra of a linguistic truth variable, and linguistic hedges (modifiers) can be used as unary connectives in formulae. This is motivated by the fact that humans reason mostly in terms of linguistic terms rather than in terms of numbers, and linguistic hedges are often used in natural languages to express different levels of emphasis. The paper presents: (i) the language of fuzzy linguistic logic programming; (ii) a declarative semantics in terms of Herbrand interpretations and models; (iii) a procedural semantics which directly manipulates linguistic terms to compute a lower bound to the truth value of a query, and proves its soundness; (iv) a fixpoint semantics of logic programs, and based on it, proves the completeness of the procedural semantics; (v) several applications of fuzzy linguistic logic programming; and (vi) an idea of implementing a system to execute fuzzy linguistic logic programs.

cs.LO↗

arXiv2008

Elasticity of Spider dragline Silks Viewed as Nematics: Yielding Induced by Isotropic-Nematic Phase Transition

Spider dragline silk shows well-known outstanding mechanical properties. However, its sigmoidal shape of the measured stress-strain curves (i.e. the yield) can not be described by classical polymer theories and recent hierarchical chain model. To solve the long lasting problem, we generalized the Maier-Saupe theory of nematics to construct an elastic model for the polypeptide chain network of the dragline silk. The comprehensive agreement between theory and experiments on the stress-strain curve strongly indicates the dragline silks to belong to liquid crystal elastomers. Especially, the remarkable yielding elasticity of the silk is understood for the first time as the force-induced isotropic-nematic phase transition of the chain network. Our theory also predicts a drop of the stress in supercontracted dragline silk, an early found effect of humidity on the mechanical property in many silks.

physics.bio-ph↗

arXiv2007

Bayesian analysis of time series of single RNA under fluctuating force

Extracting the intrinsic kinetic information of biological molecule from its single-molecule kinetic data is of considerable biophysical interest. In this work, we theoretically investigate the feasibility of inferring single RNA's intrinsic kinetic parameters from the time series obtained by forced folding/unfolding experiment done in the light tweezer, where the molecule is flanked by long double-stranded DNA/RNA handles and tethered between two big beads. We first construct a coarse-grain physical model of the experimental system. The model has captured the major physical factors: the Brownian motion of the bead, the molecular structural transition, and the elasticity of the handles and RNA. Then based on an analytic solution of the model, a Bayesian method using Monte Carlo Markov Chain is proposed to infer the intrinsic kinetic parameters of the RNA from the noisy time series of the distance or force. Because the force fluctuation induced by the Brownian motion of the bead and the structural transition can significantly modulate the transition rates of the RNA, we prove that, this statistic method is more accurate and efficient than the conventional histogram fitting method in inferring the molecule's intrinsic parameters.

cond-mat.soft↗

arXiv2006

Driven translocation of a polynucleotide chain through a nanopore--A continuous time Monte-Carlo study

Using continuous time Monte-Carlo method we simulated the translocation of a polynucleotide chain driven through a nanopore by an electric field. We have used two models of driven diffusion due to the electric field. The chain may have strong interaction with the pore, and depends on which end of the chain first enters the pore. Depending on this interaction, in both cases, the distribution of times for the chain to pass through the pore in our model is found to have three peaks, as observed in the experiment of Kasianowicz, Brandin, Branton and Deamer (KBBD).

cond-mat.soft↗

arXiv2006

Stochastic dynamics of adhesion catch-slip bond cluster

We present a general stochastic dynamic model of a cluster of biological complexes with fluctuating dissociation and association rates. The master equation has analytical solutions in two limiting cases: the vanishing force with reflecting boundary condition and slow reaction limit. In particular, the latter can describe the dynamics of a catch-slip bond cluster under a constant force. We find that if the rebinding rate vanishes, the size of the cluster matters little to the cluster lifetime within the whole catch force regime. The large cluster rapidly decays and single catch bond governs the final dynamic behaviors of the cluster. The catch behavior would be further amplified in the presence of large nonvanishing rebinding rates.

cond-mat.soft↗

arXiv2006

Bell Rate Model with Dynamic Disorder: Model and Its Application in the Receptor-ligand Forced Dissociation Experiments

We extend the Bell forced dissociation rate model to take account into dynamic disorder. The motivation of the present work is from the recent forced dissociation experiments of the adhesive receptor-ligand complexes, in which some complexes were found to increase their mean lifetimes (catch bonds) when they are stretched by mechanical force, while the force increases beyond some thresholds their lifetimes decrease (slip bonds). Different from our previous model of force modulating dynamic disorder, in present work we allow that the projection of force onto the direction from the bound to the transition state of complex could be negative. Our quantitative description is based on a one-dimension diffusion-assisted reaction model. We find that, although the model can well describe the catch-slip transitions observed in the single bond P-selctin glycoprotein ligand 1(PSGL-1)-P- and L-selectin forced dissociation experiments, it might be physically unacceptable because the model predicts a slip-catch bond transitions when the conformational diffusion coefficient tends to zero.

cond-mat.soft↗

arXiv2006

Single Molecule Michaelis-Menten Equation beyond Quasi-Static Disorder

The classic Michaelis-Menten equation describes the catalytic activities for ensembles of enzyme molecules very well. But recent single-molecule experiment showed that the waiting time distribution and other properties of single enzyme molecule are not consistent with the prediction based on the viewpoint of ensemble. It has been contributed to the slow inner conformational changes of single enzyme in the catalytic processes. In this work we study the general dynamics of single enzyme in the presence of dynamic disorder. We find that at two limiting cases, the slow reaction and nondiffusion limits, Michaelis-Menten equation exactly holds although the waiting time distribution has a multiexponential decay behaviors in the nondiffusion limit.Particularly, the classic Michaelis-Menten equation still is an excellent approximation other than the two limits.

cond-mat.soft↗

arXiv2006

Dynamic disorder in receptor-ligand forced dissociation experiments

Recently experiments showed that some biological noncovalent bonds increase their lifetimes when they are stretched by an external force, and their lifetimes will decrease when the force increases further. Several specific quantitative models have been proposed to explain the intriguing transitions from the "catch-bond" to the "slip-bond". Different from the previous efforts, in this work we propose that the dynamic disorder of the force-dependent dissociation rate can account for the counterintuitive behaviors of the bonds. A Gaussian stochastic rate model is used to quantitatively describe the transitions observed recently in the single bond P-selctin glycoprotein ligand 1(PSGL-1)$-$P-selectin force rupture experiment [Marshall, {\it et al.}, (2003) Nature {\bf 423}, 190-193]. Our model agrees well to the experimental data. We conclude that the catch bonds could arise from the stronger positive correlation between the height of the intrinsic energy barrier and the distance from the bound state to the barrier; classical pathway scenario or {\it a priori} catch bond assumption is not essential.

cond-mat.stat-mech↗

arXiv2006

Force Modulating Dynamic Disorder: Physical Theory of Catch-slip bond Transitions in Receptor-Ligand Forced Dissociation Experiments

Recently experiments showed that some adhesive receptor-ligand complexes increase their lifetimes when they are stretched by mechanical force, while the force increase beyond some thresholds their lifetimes decrease. Several specific chemical kinetic models have been developed to explain the intriguing transitions from the "catch-bonds" to the "slip-bonds". In this work we suggest that the counterintuitive forced dissociation of the complexes is a typical rate process with dynamic disorder. An uniform one-dimension force modulating Agmon-Hopfield model is used to quantitatively describe the transitions observed in the single bond P-selctin glycoprotein ligand 1(PSGL-1)$-$P-selectin forced dissociation experiments, which were respectively carried out on the constant force [Marshall, {\it et al.}, (2003) Nature {\bf 423}, 190-193] and the force steady- or jump-ramp [Evans {\it et al.}, (2004) Proc. Natl. Acad. Sci. USA {\bf 98}, 11281-11286] modes. Our calculation shows that the novel catch-slip bond transition arises from a competition of the two components of external applied force along the dissociation reaction coordinate and the complex conformational coordinate: the former accelerates the dissociation by lowering the height of the energy barrier between the bound and free states (slip), while the later stabilizes the complex by dragging the system to the higher barrier height (catch).

q-bio.CB↗

arXiv2005

Force Unfolding Single RNAs: from Equilibrium to Far-from Equilibrium

We summarize the recent simulation progress of micromanipulation experiments on RNAs. Our work mainly consults with two important small RNAs unfolding experiments carried out by Bustamante group. Our results show that, in contrast to protein cases, using the single polymer elastic theory and the well known RNA secondary structure free energy knowledge, we can successively simulate various behaviors of force unfolding RNAs under different experimental setups from equilibrium to far-from equilibrium. Particularly, our simulation would be helpful in understanding Jarzynski's remarkable equality, which its experimental test has received considerable attention.

cond-mat.soft↗

arXiv2004

Stretching single RNAs: exact numerical and stochastic simulation methods

Exact numerical methods and stochastic simulation methods are developed to study the force stretching single RNA issue on the secondary structure level in equilibrium. By computing the force-extension curves on the constant force and the constant extension ensembles, we find the two independent methods agree with each other quite well. To show the precision of our methods in predicting unfolding experiments, the unfolding forces of different RNA molecules under different experimental conditions are calculated. We find that the ionic corrections on the RNA free energies alone might not account for the apparent differences between the theoretical calculations and the experimental data; an ionic correction to the persistent length of single-stranded RNA should be necessary.

q-bio.BM↗

arXiv2002

A constant extension ensembles model of double-stranded chain molecules

Because the constant extension ensemble of single chain molecule is not always equivalent with constant force ensemble, a model of double-stranded conformations, as in RNA molecules and $β$-sheets in proteins, with fixed extension constraint is built in this paper. Based on polymer-graph theory and the self-avoiding walks, sequence dependence and excluded-volume interactions are explicitly taken into account. Using the model, we investigate force-extension curves, contact distributions and force-temperature curves at given extensions. We find that, for the same homogeneous chains, the force-extension curves are almost consistent with the extension-force curves in the conjugated force ensembles. Especially, the consistence depends on chain lengths. But the curves of the two ensembles are completely different from each other if sequences are considered. In addition, contact distributions of homogeneous sequence show that the double-stranded regions in hairpin conformations tend to locate at two sides of the chain. We contribute the unexpected phenomena to the nonuniformity of excluded-volume interactions of the region and two tails with different lengths. This tendency will disappear if the interactions are canceled. Finally, in constant extension ensemble, the force-flipping transitions conjugated with re-entering phenomena in constant force ensemble are observed in hairpin conformations, while they do not present in secondary structure conformations.

cond-mat.soft↗

arXiv2002

A model for the force stretching double-stranded chain molecules

We modify and extend the recently developed statistical mechanical model for predicting the thermodynamic properties of chain molecules having noncovalent double-stranded conformations, as in RNA or ssDNA, and $β-$sheets in protein, by including the constant force stretching at one end of molecules as in a typical single-molecule experiment. The conformations of double-stranded regions of the chain are calculated based on polymer graph-theoretic approach [S-J. Chen and K. A. Dill, J. Chem. Phys. {\bf109}, 4602(1998)], while the unpaired single-stranded regions are treated as self-avoiding walks. Sequence dependence and excluded volume interaction are taken into account explicitly. Two classes of conformations, hairpin and RNA secondary structure are explored. For the hairpin conformations, all possible end-to-end distances corresponding to the different types of double-stranded regions are enumerated exactly. For the RNA secondary structure conformations, a new recursive formula incorporating the secondary structure and end-to-end distribution has been derived. Using the model, we investigate the extension-force curves, contact and population distributions and re-entering phenomena, respectively. we find that the force stretching homogeneous chains of hairpin and secondary structure conformations are very different: the unfolding of hairpins is two-state, while unfolding the latter is one-state. In addition, re-entering transitions only present in hairpin conformations, but are not observed in secondary structure conformations.

cond-mat.soft↗

arXiv2002

Maximum-entropy calculation of end-to-end distance distribution of force stretching chains

Using the maximum-entropy method, we calculate the end-to-end distance distribution of the force stretched chain from the moments of the distribution, which can be obtained from the extension-force curves recorded in single-molecule experiments. If one knows force expansion of the extension through the $(n-1)$th power of force, it is enough information to calculate the $n$ moments of the distribution. We examine the method with three force stretching chain models, Gaussian chain, free-joined chain and excluded-volume chain on two-dimension lattice. The method reconstructs all distributions precisely. We also apply the method to force stretching complex chain molecules: the hairpin and secondary structure conformations. We find that the distributions of homogeneous chains of two conformations are very different: there are two independent peaks in hairpin distribution; while only one peak is observed in the distribution of secondary structure conformations. Our discussion also shows that the end-to-end distance distribution may discover more critical physical information than the simpler extension-force curves can give.

cond-mat.soft↗