Modelling Polyketide Synthases and Similar Macromolecular Complexes

Research output: Chapter in Book/Report/Conference proceedingChapter

Standard

Modelling Polyketide Synthases and Similar Macromolecular Complexes. / Winn, Peter; Farmer, Rohit; Thomas, Christopher.

Current trends in Bioinformatics: an Insight. ed. / Glushan Wadhwa; Jayesh Bellare; Atul Singh; P. Shanmughavel . Springer Verlag, 2017.

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Winn, P, Farmer, R & Thomas, C 2017, Modelling Polyketide Synthases and Similar Macromolecular Complexes. in G Wadhwa, J Bellare, A Singh & P Shanmughavel (eds), Current trends in Bioinformatics: an Insight. Springer Verlag.

APA

Winn, P., Farmer, R., & Thomas, C. (Accepted/In press). Modelling Polyketide Synthases and Similar Macromolecular Complexes. In G. Wadhwa, J. Bellare, A. Singh, & P. Shanmughavel (Eds.), Current trends in Bioinformatics: an Insight Springer Verlag.

Vancouver

Winn P, Farmer R, Thomas C. Modelling Polyketide Synthases and Similar Macromolecular Complexes. In Wadhwa G, Bellare J, Singh A, Shanmughavel P, editors, Current trends in Bioinformatics: an Insight. Springer Verlag. 2017

Author

Winn, Peter ; Farmer, Rohit ; Thomas, Christopher. / Modelling Polyketide Synthases and Similar Macromolecular Complexes. Current trends in Bioinformatics: an Insight. editor / Glushan Wadhwa ; Jayesh Bellare ; Atul Singh ; P. Shanmughavel . Springer Verlag, 2017.

Bibtex

@inbook{8e16588b49244bb6ac49a4bd300a0da4,
title = "Modelling Polyketide Synthases and Similar Macromolecular Complexes",
abstract = "Science is slowly unlocking the secrets of the exquisite chemical synthesis capabilities of polyketide synthases (PKSs), as well as other secondary metabolites{\textquoteright} biosynthesis pathways, and learning to re-engineer such pathways to synthesize novel chemical compounds. Research over the last 30 years has involved innovative experiments and bioinformatics focused on a wide range of medicinal compounds ranging from antibiotics to anticholesterol agents. Furthermore, it has been possible to manipulate PKSs to produce novel compounds for pharmaceutical use. However, despite great progress, our knowledge is still sketchy and experiments continue to be time consuming and difficult. PKSs, and secondary metabolite biosynthetic pathways in general, provide model systems for developing and testing experimental and bioinformatic tools for synthetic biology application. Bioinformatics and molecular modelling are important for making sense of existing and future experimental data. Bioinformatic and structural modelling can help in several ways: by predicting how manipulations of protein domains might yield viable novel biosynthetic pathways to generate variants of existing chemicals/pharmaceuticals of high value, or to allow the synthesis of totally novel compounds; by assisting the discovery of novel gene clusters in genomic and metagenomic data; by predicting the metabolites synthesized by novel gene clusters; and by interpreting experimental data to elucidate the rules governing polyketide synthase function, which feeds back into the others on this list. ",
author = "Peter Winn and Rohit Farmer and Christopher Thomas",
year = "2017",
month = jun,
day = "12",
language = "English",
editor = "Glushan Wadhwa and Jayesh Bellare and Atul Singh and {Shanmughavel }, P.",
booktitle = "Current trends in Bioinformatics: an Insight",
publisher = "Springer Verlag",

}

RIS

TY - CHAP

T1 - Modelling Polyketide Synthases and Similar Macromolecular Complexes

AU - Winn, Peter

AU - Farmer, Rohit

AU - Thomas, Christopher

PY - 2017/6/12

Y1 - 2017/6/12

N2 - Science is slowly unlocking the secrets of the exquisite chemical synthesis capabilities of polyketide synthases (PKSs), as well as other secondary metabolites’ biosynthesis pathways, and learning to re-engineer such pathways to synthesize novel chemical compounds. Research over the last 30 years has involved innovative experiments and bioinformatics focused on a wide range of medicinal compounds ranging from antibiotics to anticholesterol agents. Furthermore, it has been possible to manipulate PKSs to produce novel compounds for pharmaceutical use. However, despite great progress, our knowledge is still sketchy and experiments continue to be time consuming and difficult. PKSs, and secondary metabolite biosynthetic pathways in general, provide model systems for developing and testing experimental and bioinformatic tools for synthetic biology application. Bioinformatics and molecular modelling are important for making sense of existing and future experimental data. Bioinformatic and structural modelling can help in several ways: by predicting how manipulations of protein domains might yield viable novel biosynthetic pathways to generate variants of existing chemicals/pharmaceuticals of high value, or to allow the synthesis of totally novel compounds; by assisting the discovery of novel gene clusters in genomic and metagenomic data; by predicting the metabolites synthesized by novel gene clusters; and by interpreting experimental data to elucidate the rules governing polyketide synthase function, which feeds back into the others on this list.

AB - Science is slowly unlocking the secrets of the exquisite chemical synthesis capabilities of polyketide synthases (PKSs), as well as other secondary metabolites’ biosynthesis pathways, and learning to re-engineer such pathways to synthesize novel chemical compounds. Research over the last 30 years has involved innovative experiments and bioinformatics focused on a wide range of medicinal compounds ranging from antibiotics to anticholesterol agents. Furthermore, it has been possible to manipulate PKSs to produce novel compounds for pharmaceutical use. However, despite great progress, our knowledge is still sketchy and experiments continue to be time consuming and difficult. PKSs, and secondary metabolite biosynthetic pathways in general, provide model systems for developing and testing experimental and bioinformatic tools for synthetic biology application. Bioinformatics and molecular modelling are important for making sense of existing and future experimental data. Bioinformatic and structural modelling can help in several ways: by predicting how manipulations of protein domains might yield viable novel biosynthetic pathways to generate variants of existing chemicals/pharmaceuticals of high value, or to allow the synthesis of totally novel compounds; by assisting the discovery of novel gene clusters in genomic and metagenomic data; by predicting the metabolites synthesized by novel gene clusters; and by interpreting experimental data to elucidate the rules governing polyketide synthase function, which feeds back into the others on this list.

M3 - Chapter

BT - Current trends in Bioinformatics: an Insight

A2 - Wadhwa, Glushan

A2 - Bellare, Jayesh

A2 - Singh, Atul

A2 - Shanmughavel , P.

PB - Springer Verlag

ER -