2022
DOI: 10.1007/978-981-16-8090-8_4
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Role of Enzymes in Biofuel Production: Recent Developments and Challenges

Arvind Bangaru,
Kamasani Aarya Sree,
Chandana Kruthiventi
et al.
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Cited by 8 publications
(2 citation statements)
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“…Strong predictive capabilities may be more easily obtained with machine learning, [41] which can efficiently handle non-linearities, in particular physics-informed machine learning approaches [42] which can incorporate the physical insights revealed here. The beneficial impact of these insights on future predictions will be critical to guide the modification of biotechnologically useful enzymes [43][44][45][46] so they can remain functional in saline solutions thus reducing dependency on our fresh water resources, to obtain improved understanding of the connection between salt-dependent protein dynamics and protein-protein interactions in the course of evolution, [47][48][49][50] and to foster improved strategies for formulations of protein pharmaceutics and in structural biology.…”
Section: Discussionmentioning
confidence: 99%
“…Strong predictive capabilities may be more easily obtained with machine learning, [41] which can efficiently handle non-linearities, in particular physics-informed machine learning approaches [42] which can incorporate the physical insights revealed here. The beneficial impact of these insights on future predictions will be critical to guide the modification of biotechnologically useful enzymes [43][44][45][46] so they can remain functional in saline solutions thus reducing dependency on our fresh water resources, to obtain improved understanding of the connection between salt-dependent protein dynamics and protein-protein interactions in the course of evolution, [47][48][49][50] and to foster improved strategies for formulations of protein pharmaceutics and in structural biology.…”
Section: Discussionmentioning
confidence: 99%
“…As they reduce the negative impacts on the environment, the use of lignocellulolytic enzymes in pre-treatment and hydrolysis stages has increased significantly [ 303 ]. Efficient enzyme cocktails for biofuel production include cellulases, hemicellulases, and ligninases, as well as pectinases and accessory proteins such as AA9 and swolenins [ 56 ].…”
Section: Application Of Lignocellulolytic Enzymesmentioning
confidence: 99%