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Created: 03/06/10 @ 11:32:02
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M1 which matches fully specified molecules on the basis of their canonical representations.
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Created: 03/06/10 @ 11:33:36
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M2 which reads molecules from two sources and produces clusters of highly similar molecules.
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Created: 03/06/10 @ 11:38:27
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M4 which generates canonical tautomers prior to matching, matches, then restores original structures.
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Created: 03/06/10 @ 11:39:28
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M5 which ionises molecules at pH 7 prior to matching, restores original structures.
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Created: 04/08/10 @ 16:41:35 | Last updated: 04/08/10 @ 16:42:15
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
MetaPrint2D (doi:
10.1186/1471-2105-11-362) is used to calculate the number of red, orange, and green markers that indicate how likely an atom in the drug is metabolized (read the paper for the fine prints). It counts them for each molecule and reports them, as a set of three molecular descriptors that could potentially correlate with how well the molecule is metabolized (hypothesis).
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Created: 13/05/11 @ 17:14:06 | Last updated: 13/05/11 @ 19:47:24
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Reference:
Natural Product-likeness Score and Its Application for Prioritization of Compound
Libraries
Peter Ertl,* Silvio Roggo, and Ansgar Schuffenhauer
Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland
http://peter-ertl.com/reprints/Ertl-JCIM-48-68-2008.pdf
The natural product likeness scorer implemented by Peter Ertl was originally devised to screen large compound libraries for natural product likeness in drug designing studies. His work is re...
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Created: 13/05/11 @ 17:22:28 | Last updated: 18/03/12 @ 16:41:39
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Prerequisite:
- CDK -Taverna Plugin 0.5.1
http://www.ts-concepts.de/cdk-taverna2/plugin/
- To run this workflow the atom_signatures file of Natural product(NP), Synthetic Molecules(SM) and query structures are needed
- This could be generated from GenerateAtomSignatures.t2flow
http://www.myexperiment.org/workflows/2120/download?version=1
Description of input ports :
NP_file: needs precomputed Atom_signatures of desired Natural product structu...
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Created: 13/05/11 @ 17:34:58 | Last updated: 13/05/11 @ 17:35:08
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Prerequisite:
CDK -Taverna Plugin 0.5.1
http://www.ts-concepts.de/cdk-taverna2/plugin/
- To run this workflow you need a Score file which is written to text file.
- This could be generated from ScorerActivity.t2flow
http://www.myexperiment.org/workflows/2121/download?version=1
Description of input ports :
score_file: Path to file name that has pre computed scores.
Note:
While passing file as input it could be passed as list of many files or single fi...
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Created: 03/06/10 @ 11:43:43 | Last updated: 03/06/10 @ 11:47:16
The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems.
These problems include finding identical structures across sources, which is trivial, but also structures that differ due to idiosyncrasies of the sources or annotators. This includes charge differences, varying stereochemistry, tautomers, and so forth. Workflows in this pack allow sets of ...
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Created: 13/05/11 @ 19:35:39 | Last updated: 29/08/11 @ 14:25:47
Reference:
Natural Product-likeness Score and Its Application for Prioritization of Compound
Libraries
Peter Ertl,* Silvio Roggo, and Ansgar Schuffenhauer
Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland
http://peter-ertl.com/reprints/Ertl-JCIM-48-68-2008.pdf
The natural product likeness scorer implemented by Peter Ertl was originally devised to screen large compound libraries for natural product likeness in drug designing studies. His work...
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Created: 10/02/09 @ 10:51:58 | Last updated: 10/02/09 @ 12:48:52
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
The oxl file represents in ONDEX the SBML reconstruction of yeast metabolism produced in the "Jamboree", as described in the following paper.
PMID 18846089
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.
Nature Biotechnology. 2008 Oct;26(10):1155-60.
Herrgård MJ, Swainston N, Dobson P, Dunn WB, Arga KY, Arvas M, Blüthgen N, Borger S, Costenoble R, Heinemann M, Hucka M, Le Novère N, Li P, Lieb...
File type: GNU Zip Archive Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 39 times | Downloaded: 34 times Tags: |
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