AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Amino Acids

Showing 211 to 220 of 222 articles

Clear Filters

Using Reduced Amino Acid Alphabet and Biological Properties to Analyze and Predict Animal Neurotoxin Protein.

Current drug metabolism Jan 1, 2020
AIMS: Because of the high affinity of these animal neurotoxin proteins for some special target site, they were usually used as pharmacological tools and therapeutic agents in medicine to gain deep insights into the function of the nervous system.
Proteins Amino Acids Neurotoxins Machine Learning Animals
View on PubMed DOI

Antibody interface prediction with 3D Zernike descriptors and SVM.

Bioinformatics (Oxford, England) Jun 1, 2019
MOTIVATION: Antibodies are a class of proteins capable of specifically recognizing and binding to a virtually infinite number of antigens. This binding malleability makes them the most valuable category of biopharmaceuticals for both diagnostic and t...
Proteins Amino Acids Antibodies Software Support Vector Machine
View on PubMed DOI

Identification of hormone binding proteins based on machine learning methods.

Mathematical biosciences and engineering : MBE Mar 22, 2019
The soluble carrier hormone binding protein (HBP) plays an important role in the growth of human and other animals. HBP can also selectively and non-covalently interact with hormone. Therefore, accurate identification of HBP is an important prerequis...
Software Algorithms Computer Simulation Humans Machine Learning Carrier Proteins Peptides Databases, Protein Reproducibility of Results Hormones Amino Acids Computational Biology Animals Analysis of Variance Support Vector Machine
View on PubMed DOI

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. ...
Binding Sites rab GTP-Binding Proteins Guanosine Triphosphate Amino Acids Amino Acid Sequence Humans Neural Networks, Computer Computational Biology Databases, Protein Deep Learning
View on PubMed DOI

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...
Peripheral Nervous System Animals Female Action Potentials Muscle, Skeletal Amino Acids Reproducibility of Results Rats, Sprague-Dawley Central Nervous System Nerve Regeneration
View on PubMed DOI

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 Product Labeling Support Vector Machine
View on PubMed DOI

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 Datasets as Topic Antigens Genome Amino Acids
View on PubMed DOI

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...
ROC Curve Amino Acids Chromatography Machine Learning Sequence Analysis, Protein Immunoglobulin Variable Region Hydrophobic and Hydrophilic Interactions Antibodies, Monoclonal
View on PubMed DOI

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 Bayes Theorem Amino Acids CD4-Positive T-Lymphocytes Databases, Genetic Mice, Inbred C57BL Humans Animals Support Vector Machine
View on PubMed DOI

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...
Machine Learning Databases, Protein Humans Kruppel-Like Transcription Factors Amino Acids Zinc Fingers
View on PubMed DOI
Popular Topics
Recent Journals