AIMC Topic: Gene Library

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JDLL: a library to run deep learning models on Java bioimage informatics platforms.

Nature methods Jan 1, 2024
Indonesia Gene Library Deep Learning
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NanoDeep: a deep learning framework for nanopore adaptive sampling on microbial sequencing.

Briefings in bioinformatics Nov 22, 2023
Nanopore sequencers can enrich or deplete the targeted DNA molecules in a library by reversing the voltage across individual nanopores. However, it requires substantial computational resources to achieve rapid operations in parallel at read-time sequ...
Genome, Bacterial Nanopores Gene Library Nanopore Sequencing Deep Learning Humans
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DMFDDI: deep multimodal fusion for drug-drug interaction prediction.

Briefings in bioinformatics Sep 22, 2023
Drug combination therapy has gradually become a promising treatment strategy for complex or co-existing diseases. As drug-drug interactions (DDIs) may cause unexpected adverse drug reactions, DDI prediction is an important task in pharmacology and cl...
Gene Library Drug Interactions Machine Learning Molecular Structure Neural Networks, Computer
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Identification of significant gene expression changes in multiple perturbation experiments using knockoffs.

Briefings in bioinformatics Mar 19, 2023
Large-scale multiple perturbation experiments have the potential to reveal a more detailed understanding of the molecular pathways that respond to genetic and environmental changes. A key question in these studies is which gene expression changes are...
Humans Gene Expression Gene Library Gene Regulatory Networks Neural Networks, Computer
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OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors.

Briefings in bioinformatics Jan 17, 2022
Accurate protein side-chain modeling is crucial for protein folding and protein design. In the past decades, many successful methods have been proposed to address this issue. However, most of them depend on the discrete samples from the rotamer libra...
Protein Folding Gene Library Cell Differentiation Protein Conformation Models, Molecular Computational Biology Proteins Deep Learning
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Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Proteins are small yet valuable biomolecules that play a versatile role in therapeutics and diagnostics. The intricate sequence-structure-function paradigm in the realm of proteins opens the possibility for directly mapping amino acid sequence to fun...
Proteins Algorithms Gene Library Databases, Protein Machine Learning
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High-throughput developability assays enable library-scale identification of producible protein scaffold variants.

Proceedings of the National Academy of Sciences of the United States of America Jun 8, 2021
Proteins require high developability-quantified by expression, solubility, and stability-for robust utility as therapeutics, diagnostics, and in other biotechnological applications. Measuring traditional developability metrics is low throughput in na...
Machine Learning High-Throughput Screening Assays Proteins Databases, Nucleic Acid Gene Library
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An Approach of Anomaly Detection and Neural Network Classifiers to Measure Cellulolytic Activity.

Combinatorial chemistry & high throughput screening Jan 1, 2018
AIM AND OBJECTIVE: A common method used for massive detection of cellulolytic microorganisms is based on the formation of halos on solid medium. However, this is a subjective method and real-time monitoring is not possible. The objective of this work...
Gene Library Congo Red Pattern Recognition, Automated Machine Learning Cellulose Neural Networks, Computer Coloring Agents Hydrolysis Color Models, Molecular
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[Construction and Identification of the cDNA Expression Library for Human Esophageal Cancer Cells].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Sep 1, 2016
OBJECTIVES: To construct a cDNA phage expression library for human esophageal cancer cells.
Bacteriophages Gene Library DNA, Complementary Esophageal Neoplasms Polymerase Chain Reaction Humans
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