Literature DB >> 26822930

Identification of Enzyme Genes Using Chemical Structure Alignments of Substrate-Product Pairs.

Yuki Moriya1, Takuji Yamada2, Shujiro Okuda3, Zenichi Nakagawa1, Masaaki Kotera2, Toshiaki Tokimatsu1, Minoru Kanehisa1, Susumu Goto1.   

Abstract

Although there are several databases that contain data on many metabolites and reactions in biochemical pathways, there is still a big gap in the numbers between experimentally identified enzymes and metabolites. It is supposed that many catalytic enzyme genes are still unknown. Although there are previous studies that estimate the number of candidate enzyme genes, these studies required some additional information aside from the structures of metabolites such as gene expression and order in the genome. In this study, we developed a novel method to identify a candidate enzyme gene of a reaction using the chemical structures of the substrate-product pair (reactant pair). The proposed method is based on a search for similar reactant pairs in a reference database and offers ortholog groups that possibly mediate the given reaction. We applied the proposed method to two experimentally validated reactions. As a result, we confirmed that the histidine transaminase was correctly identified. Although our method could not directly identify the asparagine oxo-acid transaminase, we successfully found the paralog gene most similar to the correct enzyme gene. We also applied our method to infer candidate enzyme genes in the mesaconate pathway. The advantage of our method lies in the prediction of possible genes for orphan enzyme reactions where any associated gene sequences are not determined yet. We believe that this approach will facilitate experimental identification of genes for orphan enzymes.

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Year:  2016        PMID: 26822930     DOI: 10.1021/acs.jcim.5b00216

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  7 in total

1.  Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP.

Authors:  Shuangjia Zheng; Tao Zeng; Chengtao Li; Binghong Chen; Connor W Coley; Yuedong Yang; Ruibo Wu
Journal:  Nat Commun       Date:  2022-06-10       Impact factor: 17.694

Review 2.  Metabolic pathway reconstruction strategies for central metabolism and natural product biosynthesis.

Authors:  Masaaki Kotera; Susumu Goto
Journal:  Biophys Physicobiol       Date:  2016-07-15

3.  Data integration aids understanding of butterfly-host plant networks.

Authors:  Ai Muto-Fujita; Kazuhiro Takemoto; Shigehiko Kanaya; Takeru Nakazato; Toshiaki Tokimatsu; Natsushi Matsumoto; Mayo Kono; Yuko Chubachi; Katsuhisa Ozaki; Masaaki Kotera
Journal:  Sci Rep       Date:  2017-03-06       Impact factor: 4.379

4.  Enzyme annotation for orphan and novel reactions using knowledge of substrate reactive sites.

Authors:  Noushin Hadadi; Homa MohammadiPeyhani; Ljubisa Miskovic; Marianne Seijo; Vassily Hatzimanikatis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-25       Impact factor: 11.205

5.  Targeted enzyme gene re-positioning: A computational approach for discovering alternative bacterial enzymes for the synthesis of plant-specific secondary metabolites.

Authors:  Yuya Nakamura; Shuichi Hirose; Yuko Taniguchi; Yuki Moriya; Takuji Yamada
Journal:  Metab Eng Commun       Date:  2019-09-09

6.  Brown adipose tissue dysfunction promotes heart failure via a trimethylamine N-oxide-dependent mechanism.

Authors:  Yohko Yoshida; Ippei Shimizu; Atsuhiro Shimada; Keita Nakahara; Sachiko Yanagisawa; Minoru Kubo; Shinji Fukuda; Chiharu Ishii; Hiromitsu Yamamoto; Takamasa Ishikawa; Kuniyuki Kano; Junken Aoki; Goro Katsuumi; Masayoshi Suda; Kazuyuki Ozaki; Yutaka Yoshida; Shujiro Okuda; Shigeo Ohta; Shiki Okamoto; Yasuhiko Minokoshi; Kanako Oda; Toshikuni Sasaoka; Manabu Abe; Kenji Sakimura; Yoshiaki Kubota; Norihiko Yoshimura; Shingo Kajimura; Maria Zuriaga; Kenneth Walsh; Tomoyoshi Soga; Tohru Minamino
Journal:  Sci Rep       Date:  2022-09-01       Impact factor: 4.996

7.  Computational study on a puzzle in the biosynthetic pathway of anthocyanin: Why is an enzymatic oxidation/ reduction process required for a simple tautomerization?

Authors:  Hajime Sato; Chao Wang; Mami Yamazaki; Kazuki Saito; Masanobu Uchiyama
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

  7 in total

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