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Pregled bibliografske jedinice broj: 1197206

New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model


Rezić, Tonči; Vrsalović Presečki, Ana; Kurtanjek, Želimir
New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model // Bioresource technology, 342 (2021), 125990, 5 doi:10.1016/j.biortech.2021.125990 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1197206 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model

Autori
Rezić, Tonči ; Vrsalović Presečki, Ana ; Kurtanjek, Želimir

Izvornik
Bioresource technology (0960-8524) 342 (2021); 125990, 5

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
inhibitors ; Lytic-polysaccharide monooxygenase (LPMO) ; molecular descriptor structural causality model (SCM) ; directed acyclic graph (DAG)

Sažetak
Lytic-polysaccharide monooxygenase (LPMO) is one of the most important enzyme involved in biocatalytic lignocellulose degradation, and therefore inhibition of LPMO has significant effects on all related processes. Structural causality model (SCM) were established to evaluate impact of phenolic by- products in lignocellulose hydrolysates on LPMO activity. The molecular descriptors GATS4c, ATS2m, BIC3 and VR2_Dzs were found to be significant in describing inhibition. The causalities of the molecular descriptors and LPMO activity are determined by evaluating the directed acyclic graph (DAG) and the d-separation algorithm. The maximum causality for LPMO activation is β = 0.79 by BIC3 and the maximum causality of inhibition is β = -0.56 for the GATS4c descriptor. The model has the potential to predict the inhibition of LPMO and its application could be useful in selecting an appropriate lignocellulose pretreatment method to minimise the production of a potent inhibitor. This will subsequently lead to more efficient lignocellulose degradation process.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo, Biotehnologija



POVEZANOST RADA


Projekti:
MZOS-058-0581990-2004 - Hibridni integrirani bioprocesi i održivost proizvodnje organskih otapala (Šantek, Božidar, MZOS ) ( CroRIS)

Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb,
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Poveznice na cjeloviti tekst rada:

doi dx.doi.org www.sciencedirect.com

Citiraj ovu publikaciju:

Rezić, Tonči; Vrsalović Presečki, Ana; Kurtanjek, Želimir
New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model // Bioresource technology, 342 (2021), 125990, 5 doi:10.1016/j.biortech.2021.125990 (međunarodna recenzija, članak, znanstveni)
Rezić, T., Vrsalović Presečki, A. & Kurtanjek, Ž. (2021) New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model. Bioresource technology, 342, 125990, 5 doi:10.1016/j.biortech.2021.125990.
@article{article, author = {Rezi\'{c}, Ton\v{c}i and Vrsalovi\'{c} Prese\v{c}ki, Ana and Kurtanjek, \v{Z}elimir}, year = {2021}, pages = {5}, DOI = {10.1016/j.biortech.2021.125990}, chapter = {125990}, keywords = {inhibitors, Lytic-polysaccharide monooxygenase (LPMO), molecular descriptor structural causality model (SCM), directed acyclic graph (DAG)}, journal = {Bioresource technology}, doi = {10.1016/j.biortech.2021.125990}, volume = {342}, issn = {0960-8524}, title = {New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model}, keyword = {inhibitors, Lytic-polysaccharide monooxygenase (LPMO), molecular descriptor structural causality model (SCM), directed acyclic graph (DAG)}, chapternumber = {125990} }
@article{article, author = {Rezi\'{c}, Ton\v{c}i and Vrsalovi\'{c} Prese\v{c}ki, Ana and Kurtanjek, \v{Z}elimir}, year = {2021}, pages = {5}, DOI = {10.1016/j.biortech.2021.125990}, chapter = {125990}, keywords = {inhibitors, Lytic-polysaccharide monooxygenase (LPMO), molecular descriptor structural causality model (SCM), directed acyclic graph (DAG)}, journal = {Bioresource technology}, doi = {10.1016/j.biortech.2021.125990}, volume = {342}, issn = {0960-8524}, title = {New approach to the evaluation of lignocellulose derived by-products impact on lytic-polysaccharide monooxygenase activity by using molecular descriptor structural causality model}, keyword = {inhibitors, Lytic-polysaccharide monooxygenase (LPMO), molecular descriptor structural causality model (SCM), directed acyclic graph (DAG)}, chapternumber = {125990} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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  • CA Search (Chemical Abstracts)


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