AIMC Topic: Amino Acid Sequence

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DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction.

BMC genomics Aug 4, 2022
BACKGROUND: Protein-protein interaction (PPI) is very important for many biochemical processes. Therefore, accurate prediction of PPI can help us better understand the role of proteins in biochemical processes. Although there are many methods to pred...
Proteins Amino Acid Sequence Machine Learning Neural Networks, Computer
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DeepRHD: An efficient hybrid feature extraction technique for protein remote homology detection using deep learning strategies.

Computational biology and chemistry Aug 3, 2022
In computational biology, the Protein Remote homology Detection technique (PRHD) has got undeniable significance. It is mostly important for structure and function identification of a protein sequence. The previous years have seen a challenge that la...
Sequence Homology, Amino Acid Sequence Analysis, Protein Amino Acid Sequence Algorithms Proteins Deep Learning
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bHLHDB: A next generation database of basic helix loop helix transcription factors based on deep learning model.

Journal of bioinformatics and computational biology Jul 25, 2022
The basic helix loop helix (bHLH) superfamily is a large and diverse protein family that plays a role in various vital functions in nearly all animals and plants. The bHLH proteins form one of the largest families of transcription factors found in pl...
Transcription Factors Basic Helix-Loop-Helix Transcription Factors Deep Learning Amino Acid Sequence Plants Phylogeny Animals
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Predicting compound-protein interaction using hierarchical graph convolutional networks.

PloS one Jul 21, 2022
MOTIVATION: Convolutional neural networks have enabled unprecedented breakthroughs in a variety of computer vision tasks. They have also drawn much attention from other domains, including drug discovery and drug development. In this study, we develop...
Drug Discovery Neural Networks, Computer Amino Acid Sequence
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cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.

Artificial intelligence in medicine Jul 6, 2022
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause the irregular growth and division of human cells. Several traditional approaches such as therapies and wet laboratory-based methods have been applied to treat ca...
Amino Acid Sequence Neural Networks, Computer Peptides Software Humans
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A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation.

Scientific reports Jul 6, 2022
AMPylation is an emerging post-translational modification that occurs on the hydroxyl group of threonine, serine, or tyrosine via a phosphodiester bond. AMPylators catalyze this process as covalent attachment of adenosine monophosphate to the amino a...
Neural Networks, Computer Machine Learning Amino Acids Protein Processing, Post-Translational Amino Acid Sequence
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SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.

BMC genomics Jun 27, 2022
BACKGROUND: Protein-protein interactions (PPIs) dominate intracellular molecules to perform a series of tasks such as transcriptional regulation, information transduction, and drug signalling. The traditional wet experiment method to obtain PPIs info...
Humans Saccharomyces cerevisiae Amino Acid Sequence Protein Interaction Mapping Mice Animals Computational Biology Neural Networks, Computer
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Interpretable pairwise distillations for generative protein sequence models.

PLoS computational biology Jun 23, 2022
Many different types of generative models for protein sequences have been proposed in literature. Their uses include the prediction of mutational effects, protein design and the prediction of structural properties. Neural network (NN) architectures h...
Neural Networks, Computer Amino Acid Sequence Proteins Distillation
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Sequence-based drug-target affinity prediction using weighted graph neural networks.

BMC genomics Jun 17, 2022
BACKGROUND: Affinity prediction between molecule and protein is an important step of virtual screening, which is usually called drug-target affinity (DTA) prediction. Its accuracy directly influences the progress of drug development. Sequence-based d...
Amino Acid Sequence Proteins Sequence Alignment Drug Development Neural Networks, Computer
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Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion.

Computational and mathematical methods in medicine Jun 2, 2022
Protein is closely related to life activities. As a kind of protein, DNA-binding protein plays an irreplaceable role in life activities. Therefore, it is very important to study DNA-binding protein, which is a subject worthy of study. Although tradit...
Amino Acid Sequence DNA-Binding Proteins Humans Machine Learning Neural Networks, Computer
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