An individual-based model for competingDrosophila populations

An individual-based model forDrosophila is formulated, based on competition amongst larvae consuming the same batch of food. The predictions of the model are supported by data for single speciesDrosophila populations reared in the laboratory. The model is used to build a simple discrete model for the dynamics ofDrosophila populations that are kept over a number of generations. The dynamics of a single species is shown to give either a stable equilibrium or fluctuations which can be periodic or chaotic. When the dynamics of a species in the absence of the other is periodic or chaotic, we found coexistence or two alternative states, on neither of which the species can coexist.     

Evaluating hydrophobic galactonoamidines as transition state analogs for enzymatic β-galactoside hydrolysis

A spectroscopic examination of six galactonoamidines with inhibition constants and efficacy in the low nanomolar concentration range (K_i = 6–11 nM, IC₅₀ = 12–36 nM) suggested only two of them as putative transition state analogs for the hydrolysis of β-galactosides by β-galactosidase (A. oryzae). A rationale for the experimental results was elaborated using docking and molecular dynamics studies. An analysis of the combined observations reveals several common factors of the compounds suggested as transition state analogs (TSAs): the putative TSAs have a similar orientation in the active site; show conserved positioning of the glycon; display a large number of H-bond interactions toward the catalytically active amino acid residues via their glycon; and exhibit hydrophobic interactions at the outer rim of the active site with small changes of the position and orientation of their respective aglycons.     

Generalized Verlet Algorithm for Efficient Molecular Dynamics Simulations with Long-range Interactions

For the purpose of molecular dynamics simulations of large biopolymers we have developed a new method to accelerate the calculation of long-range pair interactions (e.g. Coulomb interaction). The algorithm introduces distance classes to schedule updates of non-bonding interactions and to avoid unnecessary computations of interactions between particles which are far apart. To minimize the error caused by the updating schedule, the Verlet integration scheme has been modified. The results of the method are compared to those of other approximation schemes as well as to results obtained by numerical integration without approximation. For simulation of a protein with 12 637 atoms our approximation scheme yields a reduction of computer time by a factor of seven. The approximation suggested can be implemented on sequential as well as on parallel computers. We describe an implementation on a (Transputer-based) MIMD machine with a systolic ring architecture.     

Molecular dynamics of human alpha-fetoprotein fragment LDSYQCT and its analogs at different dielectric constants

A comparative study of the conformation dynamics of the human alpha-fetoprotein fragment LDSYQCT and heptapeptides derived from it by point substitutions has revealed a significant influence of electrostatic interactions on the set of preferred conformations and dynamics of amino acid residues when the peptides with blocked termini are examined at ? = 1. Peptide flexibility rises when the termini are left free (charged). At ? = 10 or 80, the set of probable conformations for all residues expands to much the same extent, i.e., at higher permittivity of the medium the dynamic effects of amino acid changes are leveled off.     

Hydrophobic residues in small ankyrin 1 participate in binding to obscurin

Abstract

Small ankyrin-1 is a splice variant of the ANK1 gene that binds to obscurin A. Previous studies have identified electrostatic interactions that contribute to this interaction. In addition, molecular dynamics (MD) simulations predict four hydrophobic residues in a ‘hot spot’ on the surface of the ankyrin-like repeats of sAnk1, near the charged residues involved in binding. We used site-directed mutagenesis, blot overlays and surface plasmon resonance assays to study the contribution of the hydrophobic residues, V70, F71, I102 and I103, to two different 30-mers of obscurin that bind sAnk1, Obsc_6316–6345 and Obsc_6231–6260. Alanine mutations of each of the hydrophobic residues disrupted binding to the high affinity binding site, Obsc_6316–6345. In contrast, V70A and I102A mutations had no effect on binding to the lower affinity site, Obsc_6231–6260. Alanine mutagenesis of the five hydrophobic residues present in Obsc_6316–6345 showed that V6328, I6332, and V6334 were critical to sAnk1 binding. Individual alanine mutants of the six hydrophobic residues of Obsc_6231–6260 had no effect on binding to sAnk1, although a triple alanine mutant of residues V6233/I6234/I6235 decreased binding. We also examined a model of the Obsc_6316–6345-sAnk1 complex in MD simulations and found I102 of sAnk1 to be within 2.2Å of V6334 of Obsc_6316–6345. In contrast to the I102A mutation, mutating I102 of sAnk1 to other hydrophobic amino acids such as phenylalanine or leucine did not disrupt binding to obscurin. Our results suggest that hydrophobic interactions contribute to the higher affinity of Obsc_6316–6345 for sAnk1 and to the dominant role exhibited by this sequence in binding.     

How do antiporters exchange substrates across the cell membrane? An atomic-level description of the complete exchange cycle in NarK

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