Usefulness of Medical Conferences

Cumberworth, Alex; Cumberworth, Julian; Sharp, Stephanie

doi:10.1001/jama.2012.6368

Cited by 3 publications

(2 citation statements)

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“…Implicit solvation was employed in the present study, i.e., water molecules were not explicitly modeled. Because such models are in common use, 25,37,[83][84][85][86][87] it is important to assess their kinetic accuracy. Although the overall computational cost for WE-based rate estimation is approximately double at waterlike viscosity (γ = 80 ps −1) compared to low viscosity (gamma=5pŝ-1), the estimated folding time is longer by a factor exceeding 10.…”

Section: Discussionmentioning

confidence: 99%

Computational Estimation of Microsecond to Second Atomistic Folding Times

et al. 2019

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Despite the development of massively parallel computing hardware including inexpensive graphics processing units (GPUs), it has remained infeasible to simulate the folding of atomistic proteins at room temperature using conventional molecular dynamics (MD) beyond the μs scale. Here we report the folding of atomistic, implicitly solvated protein systems with folding times τ f ranging from ~10 μs to ~100 ms using the weighted ensemble (WE) strategy in combination with GPU computing. Starting from an initial structure or set of structures, WE organizes an ensemble of GPU-accelerated MD trajectory segments via intermittent pruning and replication events to generate statistically unbiased estimates of rate constants for rare events such as folding; no biasing forces are used. Although the variance among atomistic WE folding runs is significant, multiple independent runs are used to reduce and quantify statistical uncertainty. Folding times are estimated directly from WE probability flux and from history-augmented Markov analysis of the WE data. Three systems were examined: NTL9 at low solvent viscosity (yielding τ f = 0.8 − μs), NTL9 at water-like viscosity (τ f = 0.2 − 2 ms), and Protein G at low viscosity (τ f = 3 − 200 ms). In all cases the folding time, uncertainty, and ensemble properties could be estimated from WE simulation; for Protein G, this characterization required significantly less overall computing than would be required to observe a single folding event with conventional MD simulations. Our results suggest that the use and calibration of force fields and solvent models for precise estimation of kinetic quantities is becoming feasible.

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Section: Discussionmentioning

confidence: 99%

Computational Estimation of Microsecond to Second Atomistic Folding Times

et al. 2019

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“…The under-representation of 31% female senior abstract authors (compared to 43% neurology academic women faculty) could have downstream implications. These include less networking, leadership opportunities, publications, citations (due to the lack of dissemination of research), and less influence on younger neurologists (Cumberworth et al, 2012 ).…”

Section: Discussionmentioning

confidence: 99%

Re-evaluating the gender gap: a cross-sectional analysis of accepted American Academy of Neurology annual meeting abstracts in 2020 and 2021

Kim,

Sharrief

et al. 2024

Front. Res. Metr. Anal.

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Background and objectivePrior studies reveal that invited speaker panels, editorial boards, authors of practice guidelines, and senior authors of published articles are disproportionately male in the neurology field. We aimed to analyze a gender gap in authorship of accepted abstracts to the American Academy of Neurology annual meetings in 2020 and 2021.Design/methodsThis is a cross-sectional study evaluating the proportions of female first and senior abstract authors in 2020 and 2021. Abstracts were reviewed manually (n = 3,211 in 2020; n = 2,178 in 2021). Data were collected regarding the gender of first and senior authors, subspecialties, and origin of research (USA, international, or corporate-affiliated). Then, we compared the percentages of female first and senior authors in the 2 years to assess for any short-term effects of the COVID-19 pandemic.ResultsAccepted abstracts with female first and senior authors comprised 46%, 34% in 2020, and the same in 2021, without change. Female senior authors had a significantly higher proportion of female first authors than their male senior author counterparts. The analysis of subspecialties with more than 100 abstracts showed the lowest percentages of female senior authors was oncology (24.7%), sleep (25.5%), headache (28.7%), and cerebrovascular disease (29%) in 2020. Cerebrovascular disease (29%) and behavioral neurology (24.7%) had the lowest percentage of female senior authors in 2021. In the analysis of the origin of research, corporate-affiliated authors had the lowest percentages of female first (34 and 36%) and senior authors (22.6 and 27.6%).ConclusionThe gender gap in neurology was reaffirmed in regards to female senior authorship overall and in subgroups of abstracts including cerebrovascular disease, headache, behavioral neurology, sleep, oncology, and corporate-affiliated research.

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Are researchers paying too much for attending dental meetings?

Faggion

Giannakopoulos

2019

Br Dent J

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Usefulness of Medical Conferences

Cited by 3 publications

References 0 publications

Computational Estimation of Microsecond to Second Atomistic Folding Times

Computational Estimation of Microsecond to Second Atomistic Folding Times

Re-evaluating the gender gap: a cross-sectional analysis of accepted American Academy of Neurology annual meeting abstracts in 2020 and 2021

Are researchers paying too much for attending dental meetings?

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