Thermophilic proteins deep learning
WebbDOI: 10.1016/j.jhazmat.2024.131386 Corpus ID: 258029118; Rational redesign of thermophilic PET hydrolase LCCICCG to enhance hydrolysis of high crystallinity polyethylene terephthalates WebbIn this work we developed a new deep learning model for assessing drug–protein affinities called 3DProtDTA. The distinctive feature of this model is graph-based representation of both protein and the ligands, which retain a significant amount of information about their connectivity and spatial arrangement without introducing excessive computational burden.
Thermophilic proteins deep learning
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WebbTo extract the rich information contained in the protein sequence, this paper proposes a multi- channel thermophilic protein prediction model based on the self-attention … WebbDeep learning in life sciences Mutational effects on binding affinity of protein-protein complexes: development of a database, tools and applications to diseases Prediction of disease-relevant mutations in transmembrane proteins Short CV Awards Selected Publications Contact Laboratory website Email facebook Google scholar
WebbAbstract Thermophilic proteins (TPPs) are important in the field of protein biochemistry and development of new enzymes. Thus, computational methods must be urgently developed to accurately and rap... Highlights • A novel stacked ensemble learning approach (SAPPHIRE) is proposed. WebbOver the past, protein classification based on this property has been performed using multiple machine learning methods such as support vector machines, deep neural networks and especially random forest (RF) classifiers [6]. While Wu et al [7] used 111 protein features based on primary secondary
WebbWe constructed 18S rRNA libraries to investigate ciliate assemblages in Beggiatoa mats and from bare sediments at the Guaymas vent site. Results indicated a high diversity of … Webb13 feb. 2024 · The comparison with the mesophilic and thermophilic homologous proteins shows that psychrophilic enzymes have evolved some structural features responsible to …
Webbproteins' thermophilic characteristics (Charoenkwan et al. 2024). All the studies have reported > 90% accuracy for their classication models. The above methods have fol-lowed a similar strategy. Training in these studies has been performed on hundreds and thousands of diverse thermo-philic proteins from various species belonging to Archaea,
WebbDOI: 10.1016/j.jhazmat.2024.131386 Corpus ID: 258029118; Rational redesign of thermophilic PET hydrolase LCCICCG to enhance hydrolysis of high crystallinity … infant mortality rate meaning class 12Webb7 apr. 2024 · In screens for α- and β-hydrolases, such as cutinases, esterases, and lipases, some studies have found potentially thermophilic plastic-related proteins (Gan and Zhang, 2024), such as PET2 (Nakamura et al., 2024), HotPETase (Bell et al., 2024), the cutinase TfCut2 from Thermobifida fusca (Wei et al., 2024), and the cutinase Cut190 from … infant mortality rate michiganWebbObjective: In order to solve the problem of low precision and low efficiency in predicting thermophilic proteins, a prediction method based on feature fusion and machine … infant mortality rate malaysiahttp://lin-group.cn/server/iThermo/index.html infant mortality rate isWebb22 jan. 2024 · Thermophilic proteins have important value in the fields of biopharmaceuticals and enzyme engineering. Most existing thermophilic protein … infant mortality rate navajoWebb29 apr. 2024 · In this paper, we proposed an integrated deep-learning-based classification model, named SDN2GO, to predict protein functions. SDN2GO applies convolutional … infant mortality rate meaning in tamilWebbProteins of thermophiles are thermally stable in a high-temperature environment, adopting a strategy of enhancing the electrostatic interaction in hydrophobic media at high temperature. infant mortality rate niger