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Biomedical subjects

M Conrad

Publications and source records attributed to M Conrad.

At least 19 recordsLinked to original sources
PubMed1992

Modified DNA fragments activate NaeI cleavage of refractory DNA sites.

Endonuclease NaeI cleaves DNA using a two-site mechanism. The DNA-binding sites are nonidentical: they recognize different families of flanking sequences. A unique NaeI site that is resistant to cleavage resides in M13 double-stranded DNA. NaeI can be activated to cleave this site by small DNA fragments containing one or more NaeI sites. These activators are not practical for genetic engineering because unphosphorylated activators that are consumed during the cleavage of substrate give ends that may interfere with subsequent ligations. We show that a DNA fragment containing phosphorothioate linkages at the NaeI scissile bonds (S-activator) is not cleaved by NaeI, even though this S-activator binds to the substrate site. The S-activator activates NaeI to cleave M13 DNA under conditions that completely exhaust unsubstituted activator. These results demonstrate that activation is not coupled to cleavage of activator, that NaeI reverts to its inactive state soon after dissociation of the EA complex, and that S-activator makes for a nondepletable activator during prolonged incubations.

Base Sequence↗
PubMed1992

Symbiotic interactions in the EVOLVE III ecosystem model.

Parasitic feeding mechanisms were introduced into the EVOLVE III ecosystem model. The modified system exhibited a number of interesting behaviors, including obligative and facultative parasitism, transient facultative mutualism and nonsymbiotic feeding. Speciation and massive die-offs were also observed. The introduction of a symbiotic capability altered the co-evolutionary development of traits that exhibited an arms race when the symbiotic capability was not present. Stable mutualisms were not possible in the present version of the model due to the restriction that organisms were not allowed to feed both on other organisms and from the environment at the same time. The ecosystem biomass increased with increased symbiotic activity. Biomass was influenced by the balance of virulence and resistance traits in the population and decreased as these traits became more disparate.

Animals↗
PubMed1992

The seed germination model of enzyme catalysis.

The activity of enzymes and other biological macromolecules is often sensitively dependent on physiochemical context. Seed germination provides an analogy that helps to elicit the control and information processing capabilities of enzymatic networks. Like a seed, the enzyme takes a particular action (complexes with a specific substrate and catalyzes a specific reaction) when a specific set of milieu influences is satisfied. The context sensitivity, specificity and speed are enormously enhanced by the parallelism inherent in the electronic wave function (i.e. by the superposition of electronic states). This parallelism is converted to speedup through electronic-conformational interactions. The quantum speedup effect allows biological 'switches' to have qualitatively greater pattern recognition capabilities than electronic switches. Consequently the information processing and control capabilities of biomolecular systems exceed the capabilities obtainable from classical models and exceed the intuitive expectations that have developed through the study of such models.

Catalysis↗
PubMed1992

M.V. Volkenstein, evolutionary thinking and the structure of fitness landscapes.

High dimensional fitness landscapes are robustly dominated by saddle points, not isolated peaks. We present an argument to this effect that is reminiscent of May's complexity stability analysis and trace out the significance for the dynamics of speciation, the connection between the neutral and punctuated aspects of evolution and evolution on moving landscapes. The paper is written in honor of M.V. Volkenstein (October 23rd, 1912-February 18th, 1992), who devoted his last papers to uniting dynamics with evolutionary thinking.

Biological Evolution↗
PubMed1992

Public health nursing in schools: perceptions of public school administrators.

In localities throughout the country, in lieu of school nurses, nursing services are provided to county schools by public health nurses. The multiple demands placed upon these nurses and counties' fund limitations suggested this study of school administrators' perceptions of nursing responsibility and nursing activities. Administrators of elementary, middle, and high schools were surveyed by questionnaire as to (1) area(s) of nursing responsibility they considered most important and (2) their rank ordering of importance of individual nursing activities. Supervision activities related to communicable disease and immunization garnered the highest ratings. The only significant difference in ranking between groups of administrators was that health counseling for students was ranked higher by high school administrators, whereas health education for parents was ranked higher at the elementary level.

Administrative Personnel↗
PubMed1991

Ability of DNA and spermidine to affect the activity of restriction endonucleases from several bacterial species.

Previous work has described the novel ability to modulate in vitro the activity of restriction endonuclease NaeI from Nocardia aerocoligenes by using cleavable DNA and spermidine [Conrad & Topal (1989) Proc. Natl. Acad. Sci. U.S.A. 86, 9707-9711]. In this paper we report the results of a study of 49 type II restriction enzymes from a variety of bacterial species. On the basis of the rates of cleavage observed, we found that in addition to expected cleavable sites a number of enzymes had slow and resistant cognate recognition sites. Resistant sites were identified for BspMI, NaeI, and NarI; slow sites were identified for HpaII, NaeI, and SacII. Cleavage of these sites was found to be significantly enhanced by the addition of cleavable DNA or spermidine. We demonstrate that for BspMI, as for NaeI, activator DNAs increased Vmax without altering Km, whereas for HpaII, NarI, and SacII activator DNAs decreased Km without changing Vmax. Comparison among the Kms for NaeI cleavage of several different substrates demonstrated that distant DNA sequences can affect DNA recognition by the activated enzyme. Our observations extend DNA activation of the Nocardia NaeI endonuclease to restriction endonucleases from Nocardia argentinensis (NarI), Bacillus species M (BspMI), Haemophilus parainfluenza (HpaII), and Streptomyces achromogenes (SacII). In addition, activation has now been found to affect slow as well as resistant recognition sites.

Allosteric Regulation↗
PubMed1991

NaeI endonuclease binding to pBR322 DNA induces looping.

Previous work has demonstrated the existence of both resistant and cleavable NaeI sites. Cleavable sites introduced on exogenous DNA can act in trans to increase the catalysis of NaeI endonuclease cleavage at resistant sites without affecting the apparent binding affinity of the enzyme for the resistant site [Conrad, M., & Topal, M. D. (1989) Proc. Natl. Acad. Sci. U.S.A. 86, 9707-9711]. This activation suggests allosteric regulation of NaeI cleavage by distant cis- and trans-acting sites in DNAs containing both resistant and cleavable sites. Plasmid pBR322 contains four NaeI sites, at least one of which is resistant to cleavage. Electron microscopy is used here to demonstrate that NaeI endonuclease simultaneously binds to multiple recognition sites in pBR322 DNA to form loops with NaeI protein bound at the loop's base. The maximum number of loops formed with a common base suggests four binding sites per enzyme molecule. Looping was inhibited by addition of enzyme-saturating amounts of double-stranded oligonucleotide containing an NaeI site, whereas another double-strand oligonucleotide without the NaeI site had no effect. The number of loops seen was not above background when double-stranded M13 DNA, which contains only a single NaeI recognition site, was used as substrate.

DNA Restriction Enzymes↗
PubMed1991

Neutral metalloendopeptidase associated with the smooth muscle cells of pregnant rat uterus.

The pregnant rat uterus contains a membrane-bound metalloendopeptidase that is biochemically and immunologically similar to kidney enkephalinase (E.C.3.4.24.11). The uterus enzyme readily cleaved specific neutral endopeptidase substrates and oxytocin as well as the synthetic elastase substrate, Suc(Ala)3-pNA, yet did not digest native elastin. Using specific inhibitors, the uterus endopeptidase was identified as a metallopeptidase and not a serine protease, having an absolute requirement for zinc and perhaps calcium for maximal activity. The uterus endopeptidase cross-reacted with polyclonal antiserum to kidney microvillar endopeptidase and a monoclonal antibody to common acute lymphocytic leukemia antigen. Immunohistochemical localization of the enzyme in a 17 day pregnant uterus indicated that the enzyme was localized on the smooth muscle bundles of the myometrium and the endometrial epithelium. Total enzyme activity was 25 times higher in the late-term pregnant uterus (17th day of pregnancy) than in the nonpregnant uterus. Enzyme levels dropped rapidly prior to parturition and within 4 days after delivery the enzyme activity had returned to control levels. Inhibition of NEP in uterine strips with phosphoramidon resulted in a marked potentiation of oxytocin-induced contractions. Our results suggest that the uterine endopeptidase may have an important role in regulating uterine smooth muscle cell contraction during the later stages of pregnancy through its action on oxytocin and perhaps other biologically active peptides.

Animals↗
PubMed1990

The geometry of evolution.

Some structures are more suitable for self-organization through the Darwin-Wallace mechanism of variation and selection than others. Such evolutionary adaptability (or evolvability) can itself evolve through variation and selection, either by virtue of being associated with reliability and stability or by hitchhiking along with the advantageous traits whose appearance it facilitates. In order for a structure to evolve there must be a reasonable probability that genetic variation carries it from one adaptive peak to another; at the same time the structure should not be overly unstable to phenotypic perturbations, as this is incompatible with occupying a peak. Organizations that are complex in terms of numbers of components and interactions are more likely to meet the peak-climbing condition, but less likely to meet the stability condition. Biological structures that are characterized by a high degree of component redundancy and multiple weak interactions satisfy these conflicting pressures.

Biological Evolution↗
PubMed1990

Quantum mechanics and cellular information processing: the self-assembly paradigm.

Biological cells have greater information processing efficiency than the programmable computers used to model them. In part this is due to the larger number of interactions that can contribute to function. General arguments suggest that systems in which quantum features play a prominent role are more powerful than classical physical-dynamical analogs. A hypothetical model, involving macromolecular self-assembly, is used to illustrate how the parallelism inherent in the quantum mechanical wave function could play a role in cellular pattern processing. Signals impinging on the external membrane of the cell trigger the release of specifically shaped macromolecules. These aggregate into a mosaic shape features that reflect different groupings of the signal input patterns. The shape features are in turn read out and connected to effector actions by adaptor molecules. The self-assembly model fits into a more general hierarchical scheme of biological information processing in which macroscopic signals are transduced to mesoscopic and then microphysical representations, processed largely at the microphysical level, and then amplified for macroscopic action. The physical dynamics are controlled by proteins and other macromolecules that are molded through the evolutionary process of variation and selection. The organizational requirements for evolutionary moldability and for efficient information processing function are completely consistent. They include high dimensionality, multiplicity of weak interactions, and hierarchical-compartmental structure.

Biological Evolution↗
PubMed1989

Towards an artificial brain.

Three components of a brain model operating on neuromolecular computing principles are described. The first component comprises neurons whose input-output behavior is controlled by significant internal dynamics. Models of discrete enzymatic neurons, reaction-diffusion neurons operating on the basis of the cyclic nucleotide cascade, and neurons controlled by cytoskeletal dynamics are described. The second component of the model is an evolutionary learning algorithm which is used to mold the behavior of enzyme-driven neurons or small networks of these neurons for specific function, usually pattern recognition or target seeking tasks. The evolutionary learning algorithm may be interpreted either as representing the mechanism of variation and natural selection acting on a phylogenetic time scale, or as a conceivable ontogenetic adaptation mechanism. The third component of the model is a memory manipulation scheme, called the reference neuron scheme. In principle it is capable of orchestrating a repertoire of enzyme-driven neurons for coherent function. The existing implementations, however, utilize simple neurons without internal dynamics. Spatial navigation and simple game playing (using tic-tac-toe) provide the task environments that have been used to study the properties of the reference neuron model. A memory-based evolutionary learning algorithm has been developed that can assign credit to the individual neurons in a network. It has been run on standard benchmark tasks, and appears to be quite effective both for conventional neural nets and for networks of discrete enzymatic neurons. The models have the character of artificial worlds in that they map the hierarchy of processes in the brain (at the molecular, neuronal, and network levels), provide a task environment, and use this relatively self-contained setup to develop and evaluate learning and adaptation algorithms.

Artificial Intelligence↗
PubMed1989

The artificial worlds approach to emergent evolution.

Artificial worlds models of evolutionary systems are computer models that map the essential logical structure of ecological systems, defined as self-sustaining biological organizations. The artificial world comprises an artificial environment, with mass components, energy input, and physical states. It also comprises artificial organisms, including a genome, a phenome, and a (developmental) map that connects the genome to the phenome. Mass components are cycled and space is limited. The evolution process results, as in nature, from genetic variation combined with natural selection imposed by the finiteness of the environment. The selection criteria (fitness values) are not imposed, but rather emerge from the interactions of the organisms with each other and with the environment. The dynamics at the population level also emerges from these basic interactions. In this paper we describe the comparative properties of the EVOLVE family of artificial worlds models.

Artificial Intelligence↗
PubMed1989

The brain-machine disanalogy.

The comparative study of information processing in brains and machines leads to a picture in which disanalogies are more fundamental than analogies. The major dichotomy is between evolvability and programmability. Brain models, to be tenable, must pass an extended Turing test in which the capacity to self organize through the Darwinian mechanism of variation and selection is a key element. Programmable machines that simulate the type of structure-function relations that allow evolution to occur are, however, too inefficient in their use of resources for problem solving to support cognitive abilities comparable to those of biological organisms. Furthermore, real evolutionary systems are open in that it is always possible for them to tap previously unexploited physical interactions for computing. Nevertheless, computer simulation provides a powerful tool for studying brain function; and non-programmable designs that exploit the high efficiency, high adaptability domain of computing are in principle possible.

Algorithms↗
PubMed1989

Role of maternal depression in perceptions of child maladjustment.

We investigated (a) the relation of maternal depression to perceptions of externalizing and internalizing disorders in children and (b) quality of communication in a mother-child interaction task as a function of maternal depression and perceptions of the child. 64 children of unipolar or bipolar mothers, chronic medically ill or normal mothers were studied; clinical diagnoses, children's reports, and teachers' ratings served as objective criteria of children's maladjustment. Maternal depression defined by current symptomatology on the Beck Depression Inventory and by psychiatric status was not associated with misperceptions of psychopathology. Maternal depression interacted with children's actual behaviors to predict mothers' perceptions: nondepressed mothers were less accurate reporters of problems in children than were depressed mothers. Depressed mothers who perceived maladjustment in their disturbed children made more negative comments in interactions that did nondepressed mothers of disturbed children. The apparent mutual impact of mothers' and children's maladjustment requires fuller exploration in offspring studies.

Adolescent↗
PubMed1989

DNA and spermidine provide a switch mechanism to regulate the activity of restriction enzyme Nae I.

Sequence-specific DNA-protein interactions are basic to DNA function. To better understand these interactions, we studied the effect of position on cleavage of DNA by the type II restriction enzyme (EC 3.1.21.4) Nae I. We discovered two classes of Nae I restriction sites: sites susceptible and sites resistant to cleavage. Kinetic analysis showed that Nae I was activated by DNA containing cleavable Nae I sites to rapidly cleave resistant Nae I sites by a noncompetitive mechanism with a Km for substrate DNA of about 2 nM and a KA for activating DNA of about 6 nM; activation increased catalysis but not substrate binding. Deletion mutagenesis in vitro showed that sequences flanking the Nae I recognition site were responsible for the differences between activating and nonactivating Nae I sites. The polyamine spermidine had a dramatic effect on the interaction of Nae I with DNA; in the presence of 1 mM spermidine, resistant sites were cleaved rapidly and cleavable DNA inhibited cleavage. The direct regulation of enzymatic activity by DNA sequences in trans, and the modulation of this regulation by a polyamine that is sensitive to the cell cycle, provides a regulatory switch mechanism. The implications of this switch for biological control functions are discussed.

Base Sequence↗
PubMed1989

Excision repair of O6-methylguanine synthesized at the rat H-ras N-methyl-N-nitrosourea activation site and introduced into Escherichia coli.

O6-methylguanine (O6-methylG) is believed to be the premutagenic lesion responsible for mutational activation of the H-ras proto-oncogene in rats treated with N-methyl-N-nitrosourea (MNU). Research on the repair of O6-methylG has primarily focused on the methyltransferases. Potentially, other repair proteins may be involved in repair of O6-methylG. We have investigated the effect of Escherichia coli UvrABC excision repair on O6-methylG synthesized at the rat H-ras MNU activation site in a partial rat H-ras sequence constructed in an M13mp vector. An oligonucleotide self-selection technique was used to identify progeny phage containing DNA replicated from the O6-methylG-containing strand. We found that excision repair can help protect against mutation by O6-methylG at the rat H-ras MNU activation site.

Base Sequence↗