Physiochemical properties of 3-mercaptopyruvatesulphurtransferase from Ginger (Zingiber Officinale

An experiment on ginger was undertaken between April 2012 to March 2015 at Horticultural Research Station, Pechiparai with an objective to identify suitable ginger cultivar or accession with higher yield and quality attributes suitable for high rainfall zone of Tamil Nadu. Twenty four ginger genotypes, local strains and varieties were collected from different ginger growing tracts of India and evaluated for their performance in high rainfall region. Among the twenty four genotypes tested, the accession Z. O- 4 recorded higher fresh rhizome yield (22.16 ha-1) than other genotypes whereas Z. O - 6 recorded highest dry recovery per cent (22.47%). Higher oleoresin and fibre content was recorded in genotypes Z. O – 5 (9.56%) and Z . O – 17 (11.20%) respectively.

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SAMPL6 Challenge Results from pKa Predictions Based on a General Gaussian Process Model

10.26434/chemrxiv.6406505.v2 ◽

2018 ◽

Author(s):

Caitlin C. Bannan ◽

David Mobley ◽

A. Geoff Skillman

Keyword(s):

Gaussian Process ◽

Process Model ◽

Molecular Graph ◽

Gaussian Process Regression ◽

Ionization State ◽

Training Set ◽

Physiochemical Properties ◽

Quantile Plots ◽

Physical And Chemical ◽

Good Agreement

<div>A variety of fields would benefit from accurate pK<sub>a</sub> predictions, especially drug design due to the affect a change in ionization state can have on a molecules physiochemical properties.</div><div>Participants in the recent SAMPL6 blind challenge were asked to submit predictions for microscopic and macroscopic pK<sub>a</sub>s of 24 drug like small molecules.</div><div>We recently built a general model for predicting pK<sub>a</sub>s using a Gaussian process regression trained using physical and chemical features of each ionizable group.</div><div>Our pipeline takes a molecular graph and uses the OpenEye Toolkits to calculate features describing the removal of a proton.</div><div>These features are fed into a Scikit-learn Gaussian process to predict microscopic pK<sub>a</sub>s which are then used to analytically determine macroscopic pK<sub>a</sub>s.</div><div>Our Gaussian process is trained on a set of 2,700 macroscopic pK<sub>a</sub>s from monoprotic and select diprotic molecules.</div><div>Here, we share our results for microscopic and macroscopic predictions in the SAMPL6 challenge.</div><div>Overall, we ranked in the middle of the pack compared to other participants, but our fairly good agreement with experiment is still promising considering the challenge molecules are chemically diverse and often polyprotic while our training set is predominately monoprotic.</div><div>Of particular importance to us when building this model was to include an uncertainty estimate based on the chemistry of the molecule that would reflect the likely accuracy of our prediction. </div><div>Our model reports large uncertainties for the molecules that appear to have chemistry outside our domain of applicability, along with good agreement in quantile-quantile plots, indicating it can predict its own accuracy.</div><div>The challenge highlighted a variety of means to improve our model, including adding more polyprotic molecules to our training set and more carefully considering what functional groups we do or do not identify as ionizable. </div>

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Zingiber officinale: Clinical aspects for treatment of Candida infections

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.9.04.2019.p8868 ◽

2019 ◽

Vol 9 (4) ◽

pp. p8868

Author(s):

Parveen Surain ◽

Neeraj K Aggarwal

Keyword(s):

Zingiber Officinale ◽

Clinical Aspects ◽

Candida Infections

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Молекулярно-клеточные механизмы стресс-протективной активности растительного адаптогенного средства «Кардекаим» на фоне острого эмоционального стресса

Экспериментальная и клиническая фармакология ◽

10.30906/0869-2092-2018-81-2-17-20 ◽

2018 ◽

Vol 81 (2) ◽

pp. 17-20

Author(s):

Эльвира Алексеевна Алексеева ◽

О. Г. Димитров ◽

Л. Н. Шантанова ◽

С. М. Николаев ◽

Е. Н. Карева ◽

...

Keyword(s):

Zingiber Officinale ◽

Hsp 70 ◽

Zingiber Officinale Roscoe ◽

Inula Helenium

Изучены адаптогенные свойства растительного средства «Кардекаим», представляющего собой сухой экстракт из сырья Inula helenium L., Zingiber officinale Roscoe, Elletaria cardamomum (L.) Maton., Caragana spinosa (L.) Wall. ex Hornem. и содержащего в качестве действующих веществ фенольные соединения и терпеноиды. Курсовое превентивное введение кардекаима в дозе 100 мг/кг в течение 7 дней перед острым эмоциональным стрессом оказывает выраженное стресс-протективное действие, препятствуя развитию признаков «триады Селье»: инволюции вилочковой железы (40 %), язвенным повреждениям слизистой оболочки желудка (в 5 раз) и в меньшей степени — гипертрофии надпочечников (p ≤ 0,05), полученный эффект не уступает препарату сравнения — экстракту элеутерококка. Показано, что повышение резистентности к стрессу под влиянием кардекаима сопровождается активацией синтеза белков теплового шока (Hsp-70), не связанной со стресс-индуцированной генерацией NO.

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