In silico assessment of dehalogenase from Bacillus thuringiensis H2 in relation to its salinity-stability and pollutants degradation-Reference-Cited by-同舟云学术

In silico assessment of dehalogenase from Bacillus thuringiensis H2 in relation to its salinity-stability and pollutants degradation

Published:2021-05-20 Issue: Volume: Page:1-15
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Oyewusi Habeebat Adekilekun¹²³,Huyop Fahrul¹²^ORCID,Wahab Roswanira Abdul²⁴^ORCID,Hamid Azzmer Azzar Abdul⁵^ORCID

Affiliation:

1. Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

2. Enzyme Technology and Green Synthesis Research Group, Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

3. Department of Biochemistry, School of Science and Computer Studies, Federal Polytechnic Ado Ekiti, Ado Ekiti, Ekiti State, Nigeria

4. Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

5. Department of Biotechnology, Kulliyyah of Science, International Islamic University Malaysia (IIUM), Kuantan Pahang, Malaysia

Funder

Fundamental Research Grant Scheme (FRGS) from the Ministry of Higher Education Malaysia

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2021.1927846

Reference53 articles.

1. The mechanistic role of active site residues in non-stereo haloacid dehalogenase E (DehE)

2. Multi-template homology-based structural model of L-2-haloacid dehalogenase (DehL) from Rhizobium sp. RC1

3. Molecular Dynamics: Survey of Methods for Simulating the Activity of Proteins

4. Isolation, characterization and molecular identification of a halotolerant Bacillus megaterium CTBmeg1 able to grow on halogenated compounds

5. Identification of curcumin derivatives as human LMTK3 inhibitors for breast cancer: a docking, dynamics, and MM/PBSA approach

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