AIMC Topic: Amino Acids

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Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins.

Journal of bioinformatics and computational biology Feb 1, 2019
Deep learning has been increasingly and widely used to solve numerous problems in various fields with state-of-the-art performance. It can also be applied in bioinformatics to reduce the requirement for feature extraction and reach high performance. ...
Computational Biology Databases, Protein Neural Networks, Computer Deep Learning Humans Binding Sites Amino Acids rab GTP-Binding Proteins Amino Acid Sequence Guanosine Triphosphate
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Regeneration of Denervated Skeletal Muscles - Brunelli's CNS-PNS Paradigm.

Journal of medicine and life Jan 1, 2019
The restoration of voluntary muscle activity in posttraumatic paraplegia in both animal experiments and other clinical applications requires reproducibility of a technically-demanding microsurgical procedure, limited by physicians' understanding of B...
Action Potentials Animals Female Nerve Regeneration Amino Acids Rats, Sprague-Dawley Reproducibility of Results Peripheral Nervous System Central Nervous System Muscle, Skeletal
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Re: PrESOgenesis: A Two-Layer Multi-Label Predictor for Identifying Fertility-Related Proteins Using Support Vector Machine and Pseudo Amino Acid Composition Approach.

The Journal of urology Jan 1, 2019
Amino Acids Fertility Support Vector Machine Product Labeling
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Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2018
BACKGROUND: Tumor-specific mutations form novel immunogenic peptides called neoantigens. Neoantigens can be used as a biomarker predicting patient response to cancer immunotherapy. Although a predicted binding affinity (IC50) between peptide and majo...
Humans Machine Learning Amino Acids Genome Datasets as Topic Antigens
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Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.

Bioinformatics (Oxford, England) Dec 1, 2017
MOTIVATION: The hydrophobicity of a monoclonal antibody is an important biophysical property relevant for its developability into a therapeutic. In addition to characterizing heterogeneity, Hydrophobic Interaction Chromatography (HIC) is an assay tha...
Hydrophobic and Hydrophilic Interactions Chromatography Antibodies, Monoclonal Amino Acids Sequence Analysis, Protein Immunoglobulin Variable Region Machine Learning ROC Curve
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Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

Bioinformatics (Oxford, England) Apr 1, 2017
MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen receptor sequences. How this diversity captures antigen specificity remains incompletely understood. In thi...
Complementarity Determining Regions Receptors, Antigen, T-Cell, alpha-beta Amino Acids CD4-Positive T-Lymphocytes Mice, Inbred C57BL Bayes Theorem Humans Support Vector Machine Databases, Genetic Animals
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Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method.

Combinatorial chemistry & high throughput screening Jan 1, 2017
AIM AND OBJECTIVE: The Krüppel-like factors (KLFs) are a family of containing Zn finger(ZF) motif transcription factors with 18 members in human genome, among them, KLF18 is predicted by bioinformatics. KLFs possess various physiological function inv...
Humans Zinc Fingers Amino Acids Machine Learning Kruppel-Like Transcription Factors Databases, Protein
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Effect of cerebrolysin on oxidative stress-induced apoptosis in an experimental rat model of myocardial ischemia.

Physiology international Sep 1, 2016
Apoptosis plays a role in the process of tissue damage after myocardial infarction (MI). This study was designed to investigate the possible effect of cerebrolysin against apoptosis triggered by oxidative cell stress in myocardial ischemia induced by...
Myocardial Ischemia Animals Apoptosis Male Amino Acids Rats, Sprague-Dawley Oxidative Stress Disease Models, Animal Rats
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Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids.

Physical chemistry chemical physics : PCCP Mar 14, 2016
A series of models based on artificial neural networks (ANNs) have been designed to estimate the thermophysical properties of different amino acid-based ionic liquids (AAILs). Three different databases of AAILs were modeled using these algorithms wit...
Models, Theoretical Amino Acids Ionic Liquids Neural Networks, Computer
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