ORCID Profile
0000-0002-0023-4275
Current Organisations
University of Sydney
,
University of Queensland
,
University of New England
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Publisher: Cold Spring Harbor Laboratory
Date: 17-04-2021
DOI: 10.1101/2021.04.14.21251044
Abstract: Infertility is a significant problem with multiple causes and a corresponding array of therapeutic options. In an era of increasing assisted reproductive treatments, few studies examine the role of conventional non-assisted reproductive treatments to address underlying behavioural, lifestyle and medical issues. To assess outcomes from a conventional or non-assisted reproductive treatment approach Retrospective case series of 162 couples that attended an Australian, hospital-based, multidisciplinary fertility clinic between 2005 and 2010. There were 58 live births for all couples giving a crude live birth rate of 35.4% over a 24-month analysis period. When adjusted by Kaplan-Meier method, a 57.4% cumulative live birth rate (CLBR) was achieved. Couples had a median 33.9 months duration of infertility and the median female age was 33.7. For the 74 couples with an unexplained infertility diagnosis, 32 achieved a live birth at a crude rate of 43.2% or 71.2% CLBR when adjusted by Kaplan-Meier method. This observational data indicates that reproductive medicine should have a personalized approach in which alternatives for immediate IVF are considered.
Publisher: Bentham Science Publishers Ltd.
Date: 08-2008
DOI: 10.2174/138955708785132747
Abstract: This review will discuss the structural determinants and requirements necessary for estrogen receptors alpha and beta selectivity and ligand-receptor binding affinity. In addition, strategies likely to result in the development of a pharmacophore model that account for the differences in estrogenic effects between different ligands will be discussed.
Publisher: Informa UK Limited
Date: 11-2006
Publisher: Bentham Science Publishers Ltd.
Date: 02-2011
DOI: 10.2174/138620711794474097
Abstract: Evidence suggests that environmental exposure to estrogen-like compounds can cause adverse effects in humans and wildlife. The Endocrine Disruptor Screening and Testing Advisory Committee (EDSTAC) has advised screening of 87,000 compounds in the interest of human safety. This may best be accomplished by pre-screening using quantitative structure-activity relationship (QSAR) modelling. The present study aimed to develop in silico QSARs based on natural, semi-synthetic, synthetic, and phytoestrogens, to predict the potential estrogenic toxicity of pesticides. A erse set of 170 compounds including steroidal-, synthetic- and phytoestrogens, as well as pesticides was used to construct the QSAR models using artificial neural networks (ANNs). Mean correlation coefficients between experimentally measured and predicted binding affinities were all greater than 0.7 and models had few false negative results, an important consideration for screening tools. This study demonstrated the utility of ANNs as QSAR models for pre-screening of potential endocrine disruptors.
Publisher: Wiley
Date: 22-07-2005
Publisher: Informa UK Limited
Date: 19-04-2018
Publisher: Informa UK Limited
Date: 29-10-2019
DOI: 10.1080/14647273.2019.1671613
Abstract: Women wishing to conceive are largely unaware of fertility symptoms at the time of ovulation. This study investigated the effectiveness of fertility-awareness in achieving pregnancy, particularly fertile mucus pattern, in the context of infertility. The 384 eligible participants were taken from consecutive women desiring pregnancy who attended 17 Australian Billings Ovulation Method
Publisher: SAGE Publications
Date: 11-2018
Abstract: A reductive reading of Humanae vitae seeks to limit its appeal to a ban on contraception. In truth, however, it offers a vision of human sexuality and conjugal love with broad and enduring relevance. In setting forth the intrinsic complementarity and irreducibility of the unitive and procreative dimensions of the conjugal act, Paul VI has given us a hermeneutical key for assessing many contemporary ethical dilemmas in human reproductive medicine. From this perspective, this article seeks to apply the logic of Humanae vitae to several real-life scenarios confronted by medical practitioners, educators, and ethicists working in the field of fertility and reproductive health. These include a consideration of the ethics of prescribing hormonal contraceptives, the possibilities of investigating male infertility, issues of cooperation in counseling and assisting conception in same-sex relationships, the ethics pertaining to assisted reproductive technology (ART), the contested case of prenatal adoption, and the application of double-effect reasoning. On the occasion of the fiftieth anniversary of the promulgation of Pope Paul VI’s encyclical Humanae vitae, this article seeks to defend its enduring relevance to modern-day society, through application of its reasoning to contemporary dilemmas in reproductive medicine. It considers real cases of the ethics of prescribing hormonal contraceptives, of investigating male infertility, of cooperating in counseling and assisting conception in same-sex relationships, of ART, of prenatal adoption, and the application of double-effect reasoning.
Publisher: Elsevier
Date: 2007
Publisher: Wiley
Date: 12-2017
DOI: 10.1111/AJO.12697
Publisher: Wiley
Date: 10-2004
Publisher: CSIRO Publishing
Date: 2016
DOI: 10.1071/PY16097
Publisher: Elsevier BV
Date: 03-2003
DOI: 10.1002/JPS.10314
Publisher: Elsevier BV
Date: 09-2008
DOI: 10.1016/J.JPBA.2008.04.008
Abstract: Recent reports that a wide variety of natural and man-made compounds are capable of competing with natural hormones for estrogen receptors serve as timely ex les of the need to advance screening techniques to support human health and ascertain ecological risk. Quantitative structure-activity relationships (QSARs) can potentially serve as screening tools to identify and prioritize untested compounds for further empirical evaluations. Computer-based QSAR molecular models have been used to describe ligand-receptor interactions and to predict chemical structures that possess desired pharmacological characteristics. These have recently included combined and differential relative binding affinities of potential estrogenic compounds at estrogen receptors (ER) alpha and beta. In the present study, artificial neural network (ANN) QSAR models were developed that were able to predict differential relative binding affinities of a series of structurally erse compounds with estrogenic activity. The models were constructed with a dataset of 93 compounds and tested with an additional dataset of 30 independent compounds. High training correlations (r2=0.83-0.91) were observed while validation results for the external compounds were encouraging (r2=0.62-0.86). The models were used to identify structural features of phytoestrogens that are responsible for selective ligand binding to ERalpha and ERbeta. Numerous structural characteristics are required for complexation with receptors. In particular, size, shape and polarity of ligands, heterocyclic rings, lipophilicity, hydrogen bonding, presence of quaternary carbon atom, presence, position, length and configuration of a bulky side chain, were identified as the most significant structural features responsible for selective binding to ERalpha and ERbeta.
Publisher: Informa UK Limited
Date: 02-11-2017
DOI: 10.1080/13625187.2017.1412424
Abstract: Abortion is often a difficult and traumatic decision for a woman to make. Perhaps greater distress occurs when a woman commences a medical abortion but then changes her mind and wishes to keep the now-threatened pregnancy. One published case series detailed a potential method to counter/reverse the abortifacient effect of mifepristone by administering parenteral progesterone in such situations. The present report details cases of women in similar circumstances who have been treated with progesterone. The aims were to document occurrences of where women have changed their mind after commencing medical abortion, as well as to explore some of the controversies and clinical issues surrounding their circumstances. Women who had commenced medical abortion by ingesting mifepristone but who had not taken misoprostol independently contacted a national pregnancy support service the same day. Those meeting criteria for treatment received progesterone pessaries per vaginum for two weeks. Cases: 28-year-old woman, 6 weeks plus 1 day gestation 35-year-old woman, 8 weeks plus 5 days gestation and 27-year-old woman, 7 weeks plus 3 days gestation. Outcomes respectively were: healthy male baby delivered at 39 weeks gestation healthy male baby delivered at term and completed medical abortion. Women have changed their mind after commencing medical abortion. Progesterone use in early pregnancy is low risk and its application to counter the effects of mifepristone in such circumstances may be clinically beneficial in preserving her threatened pregnancy. Further research is required, however, to provide definitive evidence.
Publisher: Elsevier BV
Date: 12-2006
DOI: 10.1111/J.1467-842X.2006.TB00778.X
Abstract: Childhood injury remains the single most important cause of mortality in children aged between 1-14 years in many countries. It has been proposed that lower socio-economic status (SES) and poorer housing contribute to potential hazards in the home environment. This study sought to establish whether the prevalence of observed hazards in and around the home was differentially distributed by SES, in order to identify opportunities for injury prevention. This study was a cross-sectional, random s le survey of primary school children from 32 schools in Brisbane. Interviews and house audits were conducted between July 2000 and April 2003 to collect information on SES (income, employment and education) and previously identified household hazards. There was evidence of a relationship between prevalence of household environmental hazards and household SES however, the magnitude and direction of this relationship appeared to be hazard-specific. Household income was related to play equipment characteristics, with higher SES groups being more likely to be exposed to risk. All three SES indicators were associated with differences in the home safety characteristics, with the lower SES groups more likely to be exposed to risk. The differential distribution of environmental risk factors by SES of household may help explain the SES differential in the burden of injury and provides opportunities for focusing efforts to address the problem.
Publisher: Bentham Science Publishers Ltd.
Date: 09-2006
Publisher: Bentham Science Publishers Ltd.
Date: 04-2008
DOI: 10.2174/187231208784040933
Abstract: Since the majority of lead compounds identified for drug clinical trials fail to reach the market due to poor efficacy in humans or poor pharmacokinetics (PKs), the prediction of PK properties in humans plays an important role in selection of potential drug candidates. The aim of the present study was to develop novel models for the prediction of separate PK parameters for a erse set of drugs. Prediction would be based on the retention of each drug using micellar liquid chromatography (MLC) and selected theoretically-derived descriptors. Retention time, half life (t((1/2))), and volume of distribution (Vd) for each of the 26 training drugs were extracted from literature while molecular descriptors were generated using Molecular Modeling Pro. A total of 35 molecular descriptors describing molecular size, shape and solubility were calculated from the 3D molecular structure of each compound. Artificial neural network (ANN) modeling was used to correlate the calculated descriptors and retention time with half life and volume of distribution. A sensitivity analysis procedure was used to refine the models. The final predictive models showed significant correlations with literature values of t((1/2)) and Vd: 0.854 and 0.855 respectively for the internal testing data and 0.720 and 0.827 respectively for the external validation set of compounds. Absolute predicted values were in good agreement with literature values. Analysis of descriptors in the optimum models revealed a large degree of overlap. Solubility characteristics, hydrogen bonding, and molecular size and shape were shown to play important roles in determining drug t((1/2)) and Vd. The reciprocal of retention time was also included in both optimum models attesting to the significance of this particular physicochemical parameter and the complexity of the models developed. This novel combination of theoretical and experimental data for pharmacokinetic modeling may lead to further progress in drug development.
Publisher: Wiley
Date: 03-04-2003
DOI: 10.1002/JCC.10148
Abstract: Selection of optimal descriptors in quantitative structure-activity-property relationship (QSAR/QSPR) studies has been a perennial problem. Artificial Neural Networks (ANNs) have been used widely in QSAR/QSPR studies but less widely in descriptor selection. The current study used ANNs to select an optimal set of descriptors using large numbers of input variables. The effects of clean, noisy, and random input descriptors with linear, nonlinear, and periodic data on synthetic and real data QSAR/QSPR sets were examined. The optimal set of descriptors could be determined using a signal-to-noise ratio method. The optimal values for the rho parameter, which relates s le size to network architecture, were found to vary with the type of data. ANNs were able to detect meaningful descriptors in the presence of large numbers of random false descriptors.
Publisher: Elsevier BV
Date: 05-2003
Publisher: Bentham Science Publishers Ltd.
Date: 05-2009
DOI: 10.2174/157340609788185927
Abstract: Antipsychotic medications have a erse pharmacology with affinity for serotonergic, dopaminergic, adrenergic, histaminergic and cholinergic receptors. Their clinical use now also includes the treatment of mood disorders, thought to be mediated by serotonergic receptor activity. The aim of our study was to characterise the molecular properties of antipsychotic agents, and to develop a model that would indicate molecular specificity for the dopamine (D(2)) receptor and the serotonin (5-HT) transporter. Back-propagation artificial neural networks (ANNs) were trained on a dataset of 47 ligands categorically assigned antidepressant or antipsychotic utility. The structure of each compound was encoded with 63 calculated molecular descriptors. ANN parameters including hidden neurons and input descriptors were optimised based on sensitivity analyses, with optimum models containing between four and 14 descriptors. Predicted binding preferences were in excellent agreement with clinical antipsychotic or antidepressant utility. Validated models were further tested by use of an external prediction set of five drugs with unknown mechanism of action. The SAR models developed revealed the importance of simple molecular characteristics for differential binding to the D(2) receptor and the 5-HT transporter. These included molecular size and shape, solubility parameters, hydrogen donating potential, electrostatic parameters, stereochemistry and presence of nitrogen. The developed models and techniques employed are expected to be useful in the rational design of future therapeutic agents.
Publisher: Springer Science and Business Media LLC
Date: 2004
DOI: 10.1023/B:PHAM.0000012154.09631.26
Abstract: Radial basis function artificial neural networks and theoretical descriptors were used to develop a quantitative structure-pharmacokinetic relationship for structurally erse drug compounds. Human bioavailability values were taken from the literature and descriptors were generated from the drug structures. All models were trained with 137 compounds and tested with a further 15, after which they were evaluated for predictive ability with an additional 15 compounds. The final model possessed a 10-31-1 topology and training and testing correlation coefficients were 0.736 and 0.897, respectively. Predictions for independent compounds agreed well with experimental literature values, especially for compounds that were well absorbed and/or had high observed bioavailability. Important theoretical descriptors included solubility parameters, electronic descriptors, and topological indices. Useful information regarding drug bioavailability was gained from drug structure alone, reducing the need for experimental methods in drug development.
Publisher: Elsevier BV
Date: 02-2004
DOI: 10.1016/J.IJPHARM.2003.10.011
Abstract: Simple methods for determining the human pharmacokinetics of known and unknown drug-like compounds is a much sought-after goal in the pharmaceutical industry. The current study made use of artificial neural networks (ANNs) for the prediction of clearances, fraction bound to plasma proteins, and volume of distribution of a series of structurally erse compounds. A number of theoretical descriptors were generated from the drug structures and both automated and manual pruning were used to derive optimal subsets of descriptors for quantitative structure-pharmacokinetic relationship models. Models were trained on one set of compounds and validated with another. Absolute predicted ability was evaluated using a further independent test set of compounds. Correlations for test compounds ranged from 0.855 to 0.992. Predicted values agreed closely with experimental values for total clearance, renal clearance, and volume of distribution, while predictions for protein binding were encouraging. The combination of descriptor generation, ANNs, and the speed and success of this technique compared with conventional methods shows strong potential for use in pharmaceutical product development.
Publisher: Elsevier BV
Date: 08-2007
DOI: 10.1002/JPS.20987
Publisher: Scientific Scholar
Date: 09-2012
Abstract: Episodes of loss-of-consciousness in school-aged children are not uncommon and include metabolic, cardiovascular, neurological, and psychiatric sychosocial causes. This case describes a first episode of seizure in an 11-year-old migrant girl. History and language issues contributed to the diagnostic dilemma. Ongoing neurological symptoms prompted transfer to a tertiary care facility where investigation revealed patent foramen ovale (PFO) with likely paradoxical embolus. Prevalence and management of this condition is briefly reviewed in the context of the current presentation.
No related grants have been discovered for Joseph Turner.