AIMC Topic: Intracellular Space

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Identifying the missing proteins in human proteome by biological language model.

BMC systems biology Dec 23, 2016
BACKGROUND: With the rapid development of high-throughput sequencing technology, the proteomics research becomes a trendy field in the post genomics era. It is necessary to identify all the native-encoding protein sequences for further function and p...
Intracellular Space Databases, Protein Natural Language Processing Models, Theoretical Protein Transport Proteomics Probability Gene Ontology Humans Proteome
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Vision-based Nano Robotic System for High-throughput Non-embedded Cell Cutting.

Scientific reports Mar 4, 2016
Cell cutting is a significant task in biology study, but the highly productive non-embedded cell cutting is still a big challenge for current techniques. This paper proposes a vision-based nano robotic system and then realizes automatic non-embedded ...
Intracellular Space Humans Image Processing, Computer-Assisted Automation, Laboratory Nanotechnology Yeasts Robotics Single-Cell Analysis Microscopy, Electron, Scanning
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Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC.

IEEE transactions on nanobioscience Nov 12, 2015
In this study, we used structural and evolutionary based features to represent the sequences of gram-positive and gram-negative subcellular localizations. To do this, we proposed a normalization method to construct a normalize Position Specific Scori...
Gram-Positive Bacteria Intracellular Space Support Vector Machine Bayes Theorem Models, Statistical Gram-Negative Bacteria
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Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.

BMC bioinformatics Aug 25, 2015
BACKGROUND: It has become a very important and full of challenge task to predict bacterial protein subcellular locations using computational methods. Although there exist a lot of prediction methods for bacterial proteins, the majority of these metho...
Intracellular Space Gram-Positive Bacteria Bacterial Proteins Protein Transport Gram-Negative Bacteria Gene Ontology
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Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier.

Briefings in bioinformatics Sep 2, 2021
Multi-label proteins can participate in carrier transportation, enzyme catalysis, hormone regulation and other life activities. Meanwhile, they play a key role in the fields of biopharmaceuticals, gene and cell therapy. This article proposes a predic...
Amino Acids Support Vector Machine Plants Viruses Proteins Amino Acid Sequence Computational Biology Gram-Negative Bacteria Intracellular Space Databases, Protein Data Accuracy Gene Ontology Discriminant Analysis Position-Specific Scoring Matrices
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Deep Forest-based Prediction of Protein Subcellular Localization.

Current gene therapy Jan 1, 2018
MOTIVATION: Knowledge of the correct protein subcellular localization is necessary for understanding the function of a protein and revealing the mechanism of many human diseases due to protein subcellular mislocalization, which is required before app...
Humans Neural Networks, Computer Algorithms Genetic Therapy Intracellular Space Computational Biology Reproducibility of Results Proteins Deep Learning Protein Transport
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HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source.

Proteomics Sep 1, 2017
Predicting the subcellular localization of proteins is an important and challenging problem. Traditional experimental approaches are often expensive and time-consuming. Consequently, a growing number of research efforts employ a series of machine lea...
Proteins Databases, Protein Protein Transport Machine Learning Computational Biology Intracellular Space Subcellular Fractions Humans
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Protein subcellular localization prediction using multiple kernel learning based support vector machine.

Molecular bioSystems Mar 28, 2017
Predicting the subcellular locations of proteins can provide useful hints that reveal their functions, increase our understanding of the mechanisms of some diseases, and finally aid in the development of novel drugs. As the number of newly discovered...
Proteins Datasets as Topic Intracellular Space Protein Transport Reproducibility of Results Computational Biology Support Vector Machine Algorithms
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MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine.

Molecular bioSystems Jul 19, 2016
Knowledge of the subcellular location (SCL) of viral proteins in the host cell is important for understanding their function in depth. Therefore, we have developed "MSLVP", a two-tier prediction algorithm for predicting multiple SCLs of viral protein...
Computational Biology Support Vector Machine Protein Transport Viral Proteins Software Intracellular Space Databases, Protein Humans Algorithms Web Browser Reproducibility of Results
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