What is supercypspred?

The SuperCYPsPred web server is focused on five major CYPs isoforms, including 1A2, 2C9, 2C19, 2D6 and 3A4, that are responsible for more than 90% of the metabolism of clinical drugs. Besides the predictions, the web server provides literature curated details on known cytochrome interaction network of approved drugs.

How does the web service predict the CYP inhibitors of interest?

For any query molecule, the web service returns a similarity value for the compound of interest and its nearest compound in the training set, as well as the predicted probability of a compound to be an inhibitor of a certain CYP isozyme (which is the fraction of decision trees in the model voting for a positive prediction).

Which PubChem data are used for CYP inhibition prediction?

Most of the existing models for CYP inhibition prediction are trained exclusively on the data from PubChem Bioassay 1851. We extended that data set by iteratively adding information from further sources: First, we added the data from PubChem AIDs 410, 883, 884, 889 and 8961.

How are CYP-specific binary classification models developed for CYPs?

Prior to model development, the CYP-specific data sets were split into a training set (80% of the combined data) and test set (20% of the combined data; see Methods for details). Then, individual random forest binary classification models were developed for CYPs 1A2, 2C9, 2C19, 2D6 and 3A4.

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SuperCYPsPred—a web server for the prediction of

Emanuel Kemmler, Emanuel Kemmler Structural Bioinformatics Group, Institute for Physiology & ECRC, Charité, University Medicine Berlin, 10115 Berlin, Germany. Search for other works by this author on: Oxford Academic. PubMed. Google Scholar. Robert Preissner. Robert Preissner
Author: Priyanka Banerjee, Mathias Dunkel, Emanuel Kemmler, Robert Preissner
Publish Year: 2020

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Works For: UBS
Location: Metropolregion Sankt Gallen
Title: Business Manager WM Central …

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Emanuele Cammalleri Logistikleiter Region Stuttgart50 Kontakte Mitglied werden und vernetzen Kemmler Baustoffe GmbH Dr. Eckert Akademie Regenstauf Aktivitäten HUGO BOSS has successfully entered...
Title: Logistikleiter
Location: Region Stuttgart

DONALD PAUL KEMMLER Obituary Pittsburgh Post Gazette

Jan 29, 2022 . DONALD PAUL Kemmler. July 3, 1948 - January 29, 2022. Age 73, of Whitehall, PA, passed away January 29, 2022, after a brief battle with COVID-19. Don was born in Pittsburgh, PA, to Paul Kemmler and Jean (Dailey) Kemmler Stuckey on July 3, 1948. He graduated from Bethel Park High School in 1966 and went on to attend Youngstown State …

Heinrich Kemmler Warhammer Wiki Fandom

—Heinrich Kemmler, talking to his nemesis Arkhan the Black. Lichemaster Heinrich Kemmler, one of the most feared Necromancers in recent history. Heinrich Kemmler, the self-styled Lichemaster, is a great, powerful, and immensely infamous Necromancer who burns with the need to gather more power and arcane knowledge in the Dark Arts of Necromancy.

Home Kemmler Kemmler

Kemmler Kemmler is a Berlin-based creative agency specialising in fashion/lifestyle brands and design. Created with Sketch. Kemmler Kemmler GmbH [2022] Loading [0%] Don't be shy, get in touch. [Company] Kemmler Kemmler GmbH [Street] Großbeerenstr. 71 [City] 10963 Berlin [Country] Germany

SuperCYPsPred-a web server for the prediction of ... - PubMed

The SuperCYPsPred web server is currently focused on five major CYPs isoenzymes, which includes CYP1A2, CYP2C19, CYP2D6, CYP2C9 and CYP3A4 that are responsible for more than 80% of the metabolism of clinical drugs. The prediction models for classification of the CYPs inhibition are based on well-established machine learning methods.

Carl Kemmler - Historical records and family trees

Up to10%cash back . Carl Johan Fredrik Emanuel Kemmler was born on month day 1886, at birth place, to Johan Olofsson and Carolina Elisabeth Olofsson (born Strömberg). Johan was born on September 20 1853, in Persnäs. Carolina was born on September 27 1853, in Södvik Persnäs Öland Kalmar Län (H).

John Kemler - Historical records and family trees - MyHeritage

Up to10%cash back . John George Kemler, 1886 - 1970. John George Kemler was born on month day 1886, at birth place, North Dakota, to George Kemler and Mary Kemler. John married Mary H Kemler on month day 1909, at age 22 at marriage place, Michigan. They had 10 children: Kenneth J Kemler, Helen M Kemler and 8 other children.

The First Edition of the ars minor of Manuel Álvares’ De

Based on a hitherto unknown copy of Manuel Álvares’ (1526–1583) very significant Latin grammar Emmanvelis Alvari è Societate Iesv de institvtione grammatica libri tres (Lisbon, 1573), this paper presents the first edition of what the author himself (in a Spanish letter to his superior in Rome) once called ‘arte pequeña’. Additionally, the present paper exploits the distinction of ...

"Castle Einstein" Folge 61 - IMDb

Nov 05, 1999 . Folge 61: Directed by Klaus Kemmler. With Janine Appel, Philip Baumgarten, Paula Birnbaum, Katrin Blume.

"Castle Einstein" Folge 293 - IMDb

Apr 17, 2004 . Folge 293: Directed by Klaus Kemmler. With Raphael D'Souza, Philipp Gerstner, Anna Majtkowski, Cynthia Micas.

Frequently Asked Questions

What is supercypspred?

The SuperCYPsPred web server is focused on five major CYPs isoforms, including 1A2, 2C9, 2C19, 2D6 and 3A4, that are responsible for more than 90% of the metabolism of clinical drugs. Besides the predictions, the web server provides literature curated details on known cytochrome interaction network of approved drugs.
How does the web service predict the CYP inhibitors of interest?

For any query molecule, the web service returns a similarity value for the compound of interest and its nearest compound in the training set, as well as the predicted probability of a compound to be an inhibitor of a certain CYP isozyme (which is the fraction of decision trees in the model voting for a positive prediction).
Which PubChem data are used for CYP inhibition prediction?

Most of the existing models for CYP inhibition prediction are trained exclusively on the data from PubChem Bioassay 1851. We extended that data set by iteratively adding information from further sources: First, we added the data from PubChem AIDs 410, 883, 884, 889 and 8961.
How are CYP-specific binary classification models developed for CYPs?

Prior to model development, the CYP-specific data sets were split into a training set (80% of the combined data) and test set (20% of the combined data; see Methods for details). Then, individual random forest binary classification models were developed for CYPs 1A2, 2C9, 2C19, 2D6 and 3A4.