AIMC Topic: Mutation

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Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning.

Nature communications Aug 17, 2022
A neutral network connects all genotypes with equivalent phenotypes in a fitness landscape and plays an important role in the mutational robustness and evolvability of biomolecules. In contrast to earlier theoretical works, evidence of large neutral ...
Deep Learning Genotype Algorithms Mutation Genetic Fitness RNA, Catalytic Models, Genetic Evolution, Molecular
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A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations.

The Journal of biological chemistry Jun 24, 2022
Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogens, or caused due to random replication errors. Postinduction of carcinogenicity, mutations further propagate and drastically alter the cancer genomes....
Urinary Bladder Neoplasms Mutation Carcinoma, Transitional Cell Deep Learning Genomics Humans Neoplasms
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Boosted Sine Cosine Algorithm with Application to Medical Diagnosis.

Computational and mathematical methods in medicine Jun 22, 2022
The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obtain the optimal solution is mainly through the continuous iteration of the sine and cosine update formulas. However, SCA also faces low population div...
Benchmarking Problem Solving Support Vector Machine Mutation Humans Algorithms
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Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power.

Proceedings of the National Academy of Sciences of the United States of America Jun 21, 2022
Large-scale measurements linking genetic background to biological function have driven a need for models that can incorporate these data for reliable predictions and insight into the underlying biophysical system. Recent modeling efforts, however, pr...
Bayes Theorem Mutation Phenotype Genotype Gene-Environment Interaction Neural Networks, Computer
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Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?

Journal of molecular biology Jun 11, 2022
MOTIVATION: Continuous emergence of new variants through appearance/accumulation/disappearance of mutations is a hallmark of many viral diseases. SARS-CoV-2 variants have particularly exerted tremendous pressure on global healthcare system owing to t...
Machine Learning COVID-19 SARS-CoV-2 Humans Mutation Genome, Viral Severity of Illness Index Genotype
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Predicting CRISPR/Cas9 Repair Outcomes by Attention-Based Deep Learning Framework.

Cells Jun 5, 2022
As a simple and programmable nuclease-based genome editing tool, the CRISPR/Cas9 system has been widely used in target-gene repair and gene-expression regulation. The DNA mutation generated by CRISPR/Cas9-mediated double-strand breaks determines its ...
Endonucleases Deep Learning CRISPR-Cas Systems Mutation Gene Editing
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An Animation Model Generation Method Based on Gaussian Mutation Genetic Algorithm to Optimize Neural Network.

Computational intelligence and neuroscience Jun 3, 2022
With the rapid development of computer graphics, 3D animation has been applied to all fields of people's lives, especially in the industries of film and television works, games, and entertainment. The wide application of animation technology makes it...
Normal Distribution Computer Graphics Algorithms Mutation Motion Pictures Humans Neural Networks, Computer
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DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2022
Mutational signatures help identify cancer-associated genes that are being involved in tumorigenesis pathways. Hence, these pathways guide precision medicine approaches to find appropriate drugs and treatments. The pattern of mutations varies in diff...
Deep Learning Carcinogenesis Mutation Neoplasm Staging Software Humans Neoplasm Metastasis Neoplasms
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A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.

Journal of magnetic resonance imaging : JMRI May 19, 2022
BACKGROUND: Recent studies showed the potential of MRI-based deep learning (DL) for assessing treatment response in rectal cancer, but the role of MRI-based DL in evaluating Kirsten rat sarcoma viral oncogene homologue (KRAS) mutation remains unclear...
Deep Learning Magnetic Resonance Imaging Mutation Female Rectal Neoplasms Humans Male Proto-Oncogene Proteins p21(ras) Retrospective Studies
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Lighting up protein design.

eLife May 19, 2022
Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.
Mutation Green Fluorescent Proteins Neural Networks, Computer
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