Thermophilic proteins deep learning
Webbfew reinforcement learning algorithms (Deep Q-Learning and it’s variants), to outperform previous state-of-the-art approaches that were used to solve the protein folding problem. … Webb12 mars 2016 · Gromiha MM, Suresh MX (2008) Discrimination of mesophilic and thermophilic proteins using machine learning algorithms. Proteins 70(4): 1274-1279. …
Thermophilic proteins deep learning
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WebbBy comparison of the structures of 373 mesophilic and thermophilic protein pairs, the structural features present in these proteins which aid … Webb21 feb. 2024 · A deep-sea thermophilic bacterium, strain Ax17T, was isolated from 25 °C hydrothermal fluid at Axial Seamount. It was obligately anaerobic and autotrophic, oxidized molecular hydrogen and formate, and reduced synthetic nanophase Fe(III) (oxyhydr)oxide minerals, sulfate, sulfite, thiosulfate, and elemental sulfur for growth. It produced up to …
Webb12 apr. 2024 · Predictive aging clocks have been used to learn more about biological age, which differs from a person’s chronological age. However, their precision in shorter periods could be much better. In this study, researchers used fundus photos from the EyePACS dataset to train deep-learning models to estimate people’s ages. WebbObjective: 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 …
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 WebbDOI: 10.1016/j.jhazmat.2024.131386 Corpus ID: 258029118; Rational redesign of thermophilic PET hydrolase LCCICCG to enhance hydrolysis of high crystallinity …
Webb8 apr. 2024 · While deep learning models have been proposed to accelerate the identification process, here we show that state-of-the-art models fail to generalize to novel (i.e., never-before-seen) structures. We unveil the mechanisms responsible for this shortcoming, demonstrating how models rely on shortcuts that leverage the topology of …
WebbEngineering proteins to enhance thermal stability is a widely utilized approach for creating industrially relevant biocatalysts. The development of new experimental datasets and … honoring our police officersWebb3 jan. 2024 · Thermophiles are found in various geothermally heated regions of the Earth, such as hot springs like those in Yellowstone National Park. and deep sea hydrothermal vents, as well as decaying plant matter, such as peat bogs and compost.As a prerequisite for their survival, thermophiles contain enzymes that can function at high temperatures. honoring others bibleWebb10 maj 2024 · Thermophiles and hyperthermophiles are those organisms which grow at high temperature (> 40°C). The unusual properties of these organisms have received interest in multiple fields of biological research, and have found applications in biotechnology, especially in industrial processes. honoring organ donorsWebb19 okt. 2024 · Here we presented DeepET, a deep learning model that learns temperature-related representations of protein sequences. We demonstrated that these representations are highly useful for the prediction of enzyme catalytic temperature optima and protein melting temperatures, by using a transfer learning approach. honoring one anotherWebb12 mars 2016 · that thermal stability of thermophilic proteins is related to a series of protein sequential and structural properties.4 A small number of these mentioned properties are going to be introduced in this paper. Also, the amino acid compositions difference had been studied in mesophilic and thermophilic proteins.3,5-7 For instance, … honoring our senior citizensWebb31 jan. 2024 · Recently, a deep learning method that can predict the structure of most proteins was made freely available. However, proteins do not act alone – they act … honoring our ancestors salmon drying rackWebb1 jan. 2011 · A reliable benchmark dataset including 915 thermophilic proteins and 793 non-thermophilic proteins was constructed for training and testing the proposed … honoring pact act