AIMC Topic: Amino Acid Sequence

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Classifying the superfamily of small heat shock proteins by using g-gap dipeptide compositions.

International journal of biological macromolecules Nov 17, 2020
Small heat shock protein (sHSP) is a superfamily of molecular chaperone and is found from archaea to human. Recent researches have demonstrated that sHSPs participate in a series of biological processes and are even closely associated with serious di...
Amino Acid Sequence Dipeptides Sequence Alignment Proteomics Databases, Protein Humans Animals Computational Biology Heat-Shock Proteins, Small Machine Learning
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Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance.

Scientific reports Nov 6, 2020
The emergence of viral epidemics throughout the world is of concern due to the scarcity of available effective antiviral therapeutics. The discovery of new antiviral therapies is imperative to address this challenge, and antiviral peptides (AVPs) rep...
Peptides Antiviral Agents Amino Acid Sequence Machine Learning Software
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Protein molecular defect detection method based on a neural network algorithm.

Cellular and molecular biology (Noisy-le-Grand, France) Oct 31, 2020
Proteins, as the largest macromolecules in the body, are among the most important components of the body and play very vital and important roles. These substances are made up of a series of amino acid chains that, depending on the type of protein, th...
Neural Networks, Computer Algorithms Computational Biology Proteins Amino Acid Sequence Databases, Protein Protein Structure, Secondary
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Automatic Gene Function Prediction in the 2020's.

Genes Oct 27, 2020
The current rate at which new DNA and protein sequences are being generated is too fast to experimentally discover the functions of those sequences, emphasizing the need for accurate Automatic Function Prediction (AFP) methods. AFP has been an active...
Gene Ontology Electronic Data Processing Molecular Sequence Annotation Algorithms Computational Biology Machine Learning Models, Biological Amino Acid Sequence Proteins
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TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings.

BMC medical genomics Oct 22, 2020
BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a significant role in essential cellular processes including immunity regulation, hematopoiesis, and inflammation. As one important family of cytokines, tumo...
Computational Biology Natural Language Processing Tumor Necrosis Factors Amino Acid Sequence Humans Machine Learning
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Machine learning-guided discovery and design of non-hemolytic peptides.

Scientific reports Oct 6, 2020
Reducing hurdles to clinical trials without compromising the therapeutic promises of peptide candidates becomes an essential step in peptide-based drug design. Machine-learning models are cost-effective and time-saving strategies used to predict biol...
Cost-Benefit Analysis Hemolysis Pore Forming Cytotoxic Proteins Drug Design Amino Acid Sequence Machine Learning
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SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features.

International journal of molecular sciences Oct 1, 2020
Protein Hot-Spots (HS) are experimentally determined amino acids, key to small ligand binding and tend to be structural landmarks on protein-protein interactions. As such, they were extensively approached by structure-based Machine Learning (ML) pred...
Protein Binding Computational Biology Proteins Humans Machine Learning Protein Interaction Mapping Amino Acid Sequence Datasets as Topic Databases, Protein Binding Sites Amino Acids
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DeepAdd: Protein function prediction from k-mer embedding and additional features.

Computational biology and chemistry Sep 23, 2020
With the application of new high throughput sequencing technology, a large number of protein sequences is becoming available. Determination of the functional characteristics of these proteins by experiments is an expensive endeavor that requires a lo...
Deep Learning Protein Interaction Maps Proteins Algorithms Databases, Protein Amino Acid Sequence
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Identifying Heat Shock Protein Families from Imbalanced Data by Using Combined Features.

Computational and mathematical methods in medicine Sep 23, 2020
Heat shock proteins (HSPs) are ubiquitous in living organisms. HSPs are an essential component for cell growth and survival; the main function of HSPs is controlling the folding and unfolding process of proteins. According to molecular function and m...
Mathematical Concepts Heat-Shock Proteins Amino Acid Sequence Animals Databases, Protein Humans Computational Biology Dipeptides Algorithms Support Vector Machine Amino Acids
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DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures.

Proteins Sep 16, 2020
Accurate prediction of protein secondary structure (alpha-helix, beta-strand and coil) is a crucial step for protein inter-residue contact prediction and ab initio tertiary structure prediction. In a previous study, we developed a deep belief network...
Sequence Homology, Amino Acid Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Amino Acid Sequence Markov Chains Sequence Alignment Proteins Databases, Protein Neural Networks, Computer Software Deep Learning
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