| Chapter title |
The Use of ClusterMine360 for the Analysis of Polyketide and Nonribosomal Peptide Biosynthetic Pathways.
|
|---|---|
| Chapter number | 15 |
| Book title |
Nonribosomal Peptide and Polyketide Biosynthesis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3375-4_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3373-0, 978-1-4939-3375-4
|
| Authors |
Tremblay, Nicolas, Hill, Patrick, Conway, Kyle R, Boddy, Christopher N, Nicolas Tremblay, Patrick Hill, Kyle R. Conway, Christopher N. Boddy, Conway, Kyle R., Boddy, Christopher N. |
| Abstract |
Polyketides and nonribosomal peptides constitute two large families of microbial natural products. Over the past 20 years a broad range of microbial polyketide and nonribosomal peptide biosynthetic pathways have been characterized leading to a surfeit of genetic data on polyketide and nonribosomal peptide biosynthesis. We developed the ClusterMine360 database, which stores the antiSMASH-based annotation of gene clusters in the NCBI database, linking the structure of the natural product to the biosynthetic gene cluster. This database is searchable and enables the user to access multiple sequence files for phylogenetic analysis of polyketide and nonribosomal peptide biosynthetic genes. Herein we describe how to add compound families and gene clusters to the database and search it using key words or structures to identify specific gene clusters. We also describe how to download multiple sequence files for specific catalytic domains from polyketide and nonribosomal peptide biosynthesis. |
X Demographics
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|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
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|---|---|---|
| Germany | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
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|---|---|---|
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| Researcher | 3 | 18% |
| Student > Master | 2 | 12% |
| Professor | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 1 | 6% |
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| Social Sciences | 1 | 6% |
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| Unknown | 2 | 12% |