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Biomedical subjects

V Ferretti

Publications and source records attributed to V Ferretti.

10 recordsLinked to original sources
PubMed1997

Conserved segment identification.

The quantitative study of evolution based on comparative map data is dependent on the definition and identification of conserved segments remaining after interchromosomal exchanges such as reciprocal translocation. Because of experimental error and, more important, extensive local intrachromosomal rearrangement, it is difficult to reconstruct the configuration of conserved segments produced by interchromosomal exchanges. We present a formula to evaluate possible conserved segments and an algorithm which seeks the partition of the genome into segments optimal under this evaluation. Application is made to the human-mouse comparison.

Algorithms↗
PubMed1996

Stereochemistry of serotonin receptor ligands from crystallographic data. Crystal structures of NAN-190.HBr, 1-phenylbiguanide, MDL 72222 and mianserin.HCl and selectivity criteria towards 5-HT1, 5-HT2, and 5-HT3 receptor subtypes.

The crystal and molecular structures of the following serotoninergic drugs have been determined: (1) 1-(2-methoxyphenyl)-4-[4-(2-phthalimido)butyl]piperazine hydrobromide hemihydrate (NAN-190.HBr), C23H28N3O3+.Br-.1/2H2O, M(r) = 483.42, monoclinic, C2/c, a = 21.916 (4), b = 15.207 (2), c = 14.052 (2) A, beta = 101.56 (1) degree, V = 4588 (1) A3, Z = 8, Dx = 1.40 Mgm-3, lambda (Mo K alpha) = 0.71069 A, mu = 1.823 mm-1, F(000) = 2008, T = 295 K, R = 0.035 for 2617 observed reflections; (2) N-phenylimidocarbonimidic diamide (1-phenylbiguanide), C8H11N5, M(r) = 177.21, monoclinic, P2(1)/c, a = 9.781 (2), b = 35.040(5), c = 11.000 (2) A, beta = 97.72(1) degree, V = 3736(1)A3, Z = 16, Dx = 1.26 Mg m-3, lambda (Mo K alpha) = 0.71069 A, mu = 0.084 mm-1, F(000) = 1504, T = 295 K, R = 0.070 for 3407 observed reflections; (3) 8-methyl-8-azabicyclo[3.2.1]oct-3yl 3,5-dicholorobenzoate (MDL 72222), C15H17Cl2NO2, M(r) = 314.21, triclinic, P1, alpha = 8.480 (3), b = 9.840 (3), c = 10.158 (4) A, alpha = 90.04 (3), beta = 111.77 (3), gamma = 105.07(3) degrees, V = 755.6(5) A3, Z = 2, Dx = 1.38 Mg m-3, lambda(Mo K alpha) = 0.71069 A, mu = 0.430 mm-1, F(000) = 328, T = 295 K, R = 0.070 for 1685 observed reflections; (4) 1, 2, 3, 4, 10, 14b-hexahydro-2-methyldibenzo[c.f]pyrizino[1, 2-alpha]azepine hydrochloride (mianserin. HCl), C18H21N2+. Cl-, M(r) = 300.83, monoclinic, P2(1)/a, a = 9.014 (2), b = 14.917 (2), c = 12.412 (2) A, beta = 108.84 (1) degree, V = 1579.5 (5) A3, Z = 4, Dx = 1.26 Mg m-3, lambda(Mo K alpha) = 0.71069 A, mu = 0.237 mm-1, F(000) = 640, T = 295 K, R = 0.063 for 1493 observed reflections. A systematic structural analysis of the present compounds and others known to interact with the 5-HT1, 5-HT2 and 5-HT3 receptors allows to identify their similarities with the endogenous ligand serotonin (5-HT) and the stereochemical differences which determine selectivity for the various receptor subtypes. The pharmacophoric feature for 5-HT receptor binding is identified in a constant-length vector linking an aromatic ring with a protonated nitrogen, while specific affinities for receptorial subtypes and the nature of the effect appear to be modulated by the dimensions of the substituents at nitrogen.

Biguanides↗
PubMed1996

A remarkable nonlinear invariant for evolution with heterogeneous rates.

A model for DNA or protein sequence evolution is proposed where each position belongs to one of two distinct classes. The two classes evolve at different rates. For a phylogeny on four species, we find a cubic function of 4-tuple occurrence frequencies that is nontrivially invariant no matter what the proportion of positions in each rate class. This result refutes the major criticism of nonlinear polynomial invariants.

DNA↗
PubMed1996

Karyotype distributions in a stochastic model of reciprocal translocation.

A random process of reciprocal translocation for a fixed number k of chromosomes (or arms) will have an equilibrium distribution of chromosome lengths. In this paper we calculate this distribution, by analytical means for k = 2 and partially for k = 3, and simulate the means of the marginal distributions for higher k. We compare this with a random (i.e., ahistorical) distribution of genomic DNA among k chromosomes and to a selection of karyotypes of real organisms. The results motivate a revised model where translocations giving rise to undersize chromosomes are disadvantaged.

Karyotyping↗
PubMed1995

Phylogenetic invariants for more general evolutionary models.

An invariant Q of a tree T under a k-state Markov model, where a generalized time parameter is identified with the E edges of T, allows us to recognize whether data on N observed species (usually, N DNA sequences, one from each species) can be associated with the N leaves of T in the sense of having been generated on T rather than on any other N-leaf tree. The form of the generalized time parameter is a positive determinant matrix in some semigroup S of Markov matrices. The invariance is with respect to the choice of the set of E matrices in S, one associated with each of the E edges of T. The parametric form of S represents a model of the evolutionary process. In this paper, we apply a general method of finding invariants of a parametrized functional form to find low-degree polynomial invariants for different models. Quadratic invariants are obtained for the Kimura two-parameter model, for a model allowing evolutionary dependence between positions in the sequences and for an asymmetric model that allows for A + T versus G + C asymmetries in DNA base composition. Those invariants are found for trees (unrooted in case of the Kimura model and rooted for the others) with N = 3 or N = 4 terminal vertices. We also find cubic invariants for a ten-parameter model with k = 4 states, for rooted trees with N = 4. In each case, we use implicit function theory to predict the number of algebraically independent invariants and then use this prediction to guide a systematic search for algebraic dependence within the set of invariants produced by our method.

Animals↗
PubMed1994

Skewed base compositions, asymmetric transition matrices, and phylogenetic invariants.

Evolutionary inference methods that assume equal DNA base compositions and symmetric nucleotide substitution matrices, where these assumptions do not hold, are likely to group species on the basis of similar base compositions rather than true phylogenetic relationships. We propose an invariants-based method for dealing with this problem. An invariant QT of a tree T under a k-state Markov model, where a generalized time parameter is identified with the E edges of T, allows us to recognize whether data on N observed species can be associated with the N terminal vertices of T in the sense of having been generated on T rather than on any other tree with N terminals. The form of the generalized time parameter is a positive determinant matrix in some semigroup S of stochastic matrices. The invariance is with respect to the choice of the set of E matrices in S, one associated with each of the E edges of T. We apply a general "empirical" method of finding invariants of a parametrized functional form. It involves calculating the probability f of all KN data possibilities for each of m sets of E matrices in S to associate with the edges of T, then solving for the parameters using the m equations of form Q(f) = 0. We discuss the problems of finding asymmetric models satisfying the property of semigroup closure, of finding asymmetric models that admit invariants at all, and of the computational complexity of the method. We propose a class of semigroups Sc containing matrices of form [formula: see text] to account for A+T versus G+C asymmetries in DNA base composition. Quadratic invariants are obtained for rooted trees with three and with four terminals. In the latter case the smallest set of algebraically independent invariants is sought. These invariants are applied to data pertaining the fungal evolution and to the origin of mitochondria as bacterial endosymbionts.

Algorithms↗
PubMed1989

A continuous analog for RNA folding.

A linear segment in which a number of pairs of intervals of equal length are identified as potential stems is the subject of a folding problem analogous to inference of RNA secondary structure. A quantity of free energy (or equivalently, energy per unit length) is associated with each stem, and the various types of loops are assigned energy costs as a function of their lengths. Inference of stable structures can then be carried out in the same way as in RNA folding. More important, perturbation of stem lengths and energy densities (modelling various mutational processes affecting nucleotide sequences) allows the delineation of domains of stability of various foldings, through the explicit calculation of their boundaries, in a low-dimensional parameter space.

Mathematics↗
PubMed1987

Stereochemical features controlling binding and intrinsic activity properties of benzodiazepine-receptor ligands.

Benzodiazepine-receptor ligands belong to several different chemical classes. All of them bind to the receptor but display a variety of biological effects ranging from agonist to inverse agonist to antagonist. The properties of the most representative compounds for each class are briefly reviewed as concerns their receptor binding affinities, gamma-aminobutyric acid ratios, photoaffinity labeling ratios, and pharmacological properties. Their geometries, as obtained by X-ray crystallography, are discussed and missing crystal and molecular structures of two of them (zopiclone and CL 218-872) are reported. Binding and intrinsic activity properties of series of benzodiazepines and beta-carbolines are extensively analyzed and correlated with their molecular structures. A general stereochemical model accounting for both binding abilities and kinds of biochemical and pharmacological activities for all benzodiazepine-receptor ligands is proposed. This is based on the assumption of a rather diffuse and substantially planar recognition site where the main drug-receptor interactions are mediated by the drug carbonylic or iminic groups via hydrogen bonding and the observed differences in pharmacological profiles are accounted for by the different localization of the different ligands inside this unique binding site.

Animals↗
PubMed1986

Allele and locus classification in electrophoretic population studies.

The electrophoretic separation of protein variants having slightly different mobilities is a basic tool of biochemical population genetics. In certain situations it is difficult to determine how to classify the variants as alleles of a number of genetic loci, that is, as variant subsets within each of which the Mendelian laws hold. In this article, we develop and analyze a series of algorithms for solving various versions and generalizations of this problem of optimal classification.

Alleles↗