AIMC Topic: Amino Acid Sequence

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Predicting HIV drug resistance using weighted machine learning method at target protein sequence-level.

Molecular diversity Jul 9, 2021
Acquired immune deficiency syndrome (AIDS) is a fatal disease caused by human immunodeficiency virus (HIV). Although 23 different drugs have been available, the treatment of AIDS remains challenging because the virus mutates very quickly which can le...
HIV Amino Acid Sequence Drug Resistance, Viral Dose-Response Relationship, Drug Mutation Humans Databases, Factual Machine Learning Reproducibility of Results Viral Proteins Algorithms Anti-HIV Agents Models, Theoretical Support Vector Machine
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Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN.

Interdisciplinary sciences, computational life sciences Jul 8, 2021
BACKGROUND: Prediction of protein solubility is an indispensable prerequisite for pharmaceutical research and production. The general and specific objective of this work is to design a new model for predicting protein solubility by using protein sequ...
Protein Domains Amino Acid Sequence Solubility Neural Networks, Computer Proteins
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Identification of subtypes of anticancer peptides based on sequential features and physicochemical properties.

Scientific reports Jun 30, 2021
Anticancer peptides (ACPs) are a kind of bioactive peptides which could be used as a novel type of anticancer drug that has several advantages over chemistry-based drug, including high specificity, strong tumor penetration capacity, and low toxicity ...
Humans Machine Learning Peptides Antineoplastic Agents Computational Biology Amino Acid Sequence
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ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations.

Computational biology and chemistry Jun 29, 2021
MOTIVATION: Primary and secondary active transport are two types of active transport that involve using energy to move the substances. Active transport mechanisms do use proteins to assist in transport and play essential roles to regulate the traffic...
Support Vector Machine Natural Language Processing Carrier Proteins Amino Acid Sequence Biological Transport, Active
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MULTICOM2 open-source protein structure prediction system powered by deep learning and distance prediction.

Scientific reports Jun 23, 2021
Protein structure prediction is an important problem in bioinformatics and has been studied for decades. However, there are still few open-source comprehensive protein structure prediction packages publicly available in the field. In this paper, we p...
Amino Acid Sequence Deep Learning Sequence Alignment Software Structure-Activity Relationship Protein Structure, Tertiary Models, Molecular
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Predicting Drug-Target Interactions with Deep-Embedding Learning of Graphs and Sequences.

The journal of physical chemistry. A Jun 18, 2021
Computational approaches for predicting drug-target interactions (DTIs) play an important role in drug discovery since conventional screening experiments are time-consuming and expensive. In this study, we proposed end-to-end representation learning ...
Amino Acid Sequence Computer Graphics Proteins Pharmaceutical Preparations Drug Discovery Deep Learning Computational Biology
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In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins.

International journal of molecular sciences Jun 15, 2021
Peroxisomes are ubiquitous membrane-bound organelles, and aberrant localisation of peroxisomal proteins contributes to the pathogenesis of several disorders. Many computational methods focus on assigning protein sequences to subcellular compartments,...
Protein Transport Peroxisomes Mitochondrial Proteins Membrane Proteins Amino Acid Sequence Algorithms Software Reproducibility of Results Deep Learning
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PANDA: Predicting the change in proteins binding affinity upon mutations by finding a signal in primary structures.

Journal of bioinformatics and computational biology Jun 11, 2021
Accurately determining a change in protein binding affinity upon mutations is important to find novel therapeutics and to assist mutagenesis studies. Determination of change in binding affinity upon mutations requires sophisticated, expensive, and ti...
Protein Binding Proteins Mutation Amino Acid Sequence Machine Learning
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Prediction of African Swine Fever Virus Inhibitors by Molecular Docking-Driven Machine Learning Models.

Molecules (Basel, Switzerland) Jun 11, 2021
African swine fever virus (ASFV) causes a highly contagious and severe hemorrhagic viral disease with high mortality in domestic pigs of all ages. Although the virus is harmless to humans, the ongoing ASFV epidemic could have severe economic conseque...
African Swine Fever Virus Amino Acid Sequence DNA-Directed DNA Polymerase Swine Machine Learning Viral Proteins Antiviral Agents Animals Molecular Docking Simulation Pentagastrin Drug Design African Swine Fever
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Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

Nature communications Jun 10, 2021
In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) form toxic aggregates and amyloid fibrils in target organs. Prompt diagnosis is crucial to avoid permanent organ damage, but delayed diagnosis is common ...
Animals Recombinant Proteins Databases, Genetic Machine Learning Algorithms Antibodies Amino Acid Sequence Caenorhabditis elegans Models, Molecular Gene Expression Mutation Humans Immunoglobulin Light Chains Immunoglobulin Light-chain Amyloidosis
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