AIMC Topic: Proteins

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Reporting and connecting cell type names and gating definitions through ontologies.

BMC bioinformatics Apr 25, 2019
BACKGROUND: Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations based on the detection of a p...
Humans Biological Ontologies Immune System Protein Subunits Databases, Factual Proteins
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Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences.

IEEE/ACM transactions on computational biology and bioinformatics Apr 16, 2019
The order of amino acids in a protein sequence enables the protein to acquire a conformation suitable for performing functions, thereby motivating the need to analyze these sequences for predicting functions. Although machine learning based approache...
Protein Conformation Sequence Analysis, Protein Algorithms Deep Learning Computational Biology Proteins Discriminant Analysis Amino Acid Sequence
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Computational advances in combating colloidal aggregation in drug discovery.

Nature chemistry Apr 15, 2019
Small molecule effectors are essential for drug discovery. Specific molecular recognition, reversible binding and dose-dependency are usually key requirements to ensure utility of a novel chemical entity. However, artefactual frequent-hitter and assa...
Organic Chemicals Proteins Colloids Drug Discovery Protein Binding Small Molecule Libraries Machine Learning
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Hybrid model for efficient prediction of poly(A) signals in human genomic DNA.

Methods (San Diego, Calif.) Apr 13, 2019
Polyadenylation signals (PAS) are found in most protein-coding and some non-coding genes in eukaryotes. Their accurate recognition improves understanding gene regulation mechanisms and recognition of the 3'-end of transcribed gene regions where prema...
Genomics Proteins Genome, Human Poly A Polyadenylation Humans Neural Networks, Computer Software
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Prediction of Protein Metal Binding Sites Using Deep Neural Networks.

Molecular informatics Apr 12, 2019
Metals have crucial roles for many physiological, pathological and diagnostic processes. Metal binding proteins or metalloproteins are important for metabolism functions. The proteins that reach the three-dimensional structure by folding show which v...
Proteins Binding Sites Deep Learning Metals
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Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 8, 2019
Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell ...
Humans Gamma Rays Proteins Machine Learning Flow Cytometry Animals Dogs Algorithms Computer Systems Madin Darby Canine Kidney Cells Cell Line, Tumor Cell Membrane Green Fluorescent Proteins
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Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation.

IEEE/ACM transactions on computational biology and bioinformatics Apr 1, 2019
The engineering of stable proteins is crucial for various industrial purposes. Several machine learning methods have been developed to predict changes in the stability of proteins corresponding to single point mutations. To improve the prediction acc...
Protein Stability Neural Networks, Computer Sequence Analysis, Protein Proteins Humans Computational Biology Unsupervised Machine Learning Databases, Genetic Point Mutation Amino Acid Sequence
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Predicting drug-target interaction network using deep learning model.

Computational biology and chemistry Mar 25, 2019
BACKGROUND: Traditional methods for drug discovery are time-consuming and expensive, so efforts are being made to repurpose existing drugs. To find new ways for drug repurposing, many computational approaches have been proposed to predict drug-target...
Databases, Chemical Support Vector Machine Deep Learning Drug Repositioning Genes, Neoplasm Proteins Protein Domains Protein Binding Molecular Structure Breast Neoplasms Databases, Protein Computational Biology Amino Acid Sequence Models, Chemical Antineoplastic Agents
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IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques.

Methods (San Diego, Calif.) Mar 22, 2019
Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This technique can provide important clues for biologically active molecules, which is useful in the following researches of durg discovery. In this work,...
Protein Conformation Software Deep Learning User-Computer Interface Algorithms Proteins Databases, Factual Molecular Docking Simulation
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CiRCus: A Framework to Enable Classification of Complex High-Throughput Experiments.

Journal of proteome research Mar 22, 2019
Despite the increasing use of high-throughput experiments in molecular biology, methods for evaluating and classifying the acquired results have not kept pace, requiring significant manual efforts to do so. Here, we present CiRCus, a framework to gen...
Proteomics Proteins Databases, Protein High-Throughput Screening Assays Binding, Competitive Software Algorithms Protein Binding Machine Learning
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