Literature DB >> 27562499

BioCatNet: A Database System for the Integration of Enzyme Sequences and Biocatalytic Experiments.

Patrick C F Buchholz1, Constantin Vogel1, Waldemar Reusch1, Martina Pohl2, Dörte Rother2, Antje C Spieß3,4, Jürgen Pleiss5.   

Abstract

The development of novel enzymes for biocatalytic processes requires knowledge on substrate profile and selectivity; this can be derived from databases and from publications. Often, these sources lack time-course data for the substrate or product, and an unambiguous link between experiment and enzyme sequence. The lack of integrated, original data hampers the comprehensive analysis of enzyme kinetics and the evaluation of sequence-function relationships. In order to accelerate enzyme engineering, BioCatNet integrates protein sequence, protein structure, and experimental data for a given enzyme family. BioCatNet explicitly assigns the enzyme sequence to the experimental data, which consists of information on reaction conditions and time-course data. BioCatNet facilitates the consistent documentation of reaction conditions, the archiving of time-course data, and the efficient exchange of experimental data among collaborators. Data integration is demonstrated for three case studies by using the TEED (Thiamine diphosphate-dependent Enzymes Engineering Database).
© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  biocatalysis; data management; enzymes; kinetics; protein design; sequence-function relationship

Mesh:

Substances:

Year:  2016        PMID: 27562499     DOI: 10.1002/cbic.201600462

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  6 in total

1.  STRENDA DB: enabling the validation and sharing of enzyme kinetics data.

Authors:  Neil Swainston; Antonio Baici; Barbara M Bakker; Athel Cornish-Bowden; Paul F Fitzpatrick; Peter Halling; Thomas S Leyh; Claire O'Donovan; Frank M Raushel; Udo Reschel; Johann M Rohwer; Santiago Schnell; Dietmar Schomburg; Keith F Tipton; Ming-Daw Tsai; Hans V Westerhoff; Ulrike Wittig; Roland Wohlgemuth; Carsten Kettner
Journal:  FEBS J       Date:  2018-03-23       Impact factor: 5.542

Review 2.  Harnessing plant metabolic diversity.

Authors:  Charlie Owen; Nicola J Patron; Ancheng Huang; Anne Osbourn
Journal:  Curr Opin Chem Biol       Date:  2017-05-17       Impact factor: 8.972

3.  Endolysins from Antarctic Pseudomonas Display Lysozyme Activity at Low Temperature.

Authors:  Marco Orlando; Sandra Pucciarelli; Marina Lotti
Journal:  Mar Drugs       Date:  2020-11-20       Impact factor: 5.118

4.  Modeling-Assisted Design of Thermostable Benzaldehyde Lyases from Rhodococcus erythropolis for Continuous Production of α-Hydroxy Ketones.

Authors:  Martin Peng; Dominik L Siebert; Martin K M Engqvist; Christof M Niemeyer; Kersten S Rabe
Journal:  Chembiochem       Date:  2021-10-08       Impact factor: 3.461

5.  ROCker Models for Reliable Detection and Typing of Short-Read Sequences Carrying β-Lactamase Genes.

Authors:  Si-Yu Zhang; Brittany Suttner; Luis M Rodriguez-R; Luis H Orellana; Roth E Conrad; Fang Liu; Jessica L Rowell; Hattie E Webb; Amanda J Williams-Newkirk; Andrew Huang; Konstantinos T Konstantinidis
Journal:  mSystems       Date:  2022-05-31       Impact factor: 7.324

6.  Assessing the Thiamine Diphosphate Dependent Pyruvate Dehydrogenase E1 Subunit for Carboligation Reactions with Aliphatic Ketoacids.

Authors:  Stefan R Marsden; Duncan G G McMillan; Ulf Hanefeld
Journal:  Int J Mol Sci       Date:  2020-11-16       Impact factor: 5.923

  6 in total

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