AIMC Topic: Protein Interaction Maps

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A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Understanding the ageing process is a very challenging problem for biologists. To help in this task, there has been a growing use of classification methods (from machine learning) to learn models that predict whether a gene influences the process of ...
Computational Biology Yeasts Genome, Human Drosophila melanogaster Uncertainty Aging Protein Interaction Maps Mice Algorithms Animals Humans Machine Learning
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Multi-Neighborhood Learning for Global Alignment in Biological Networks.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
The global alignment of biological networks (GABN) aims to find an optimal alignment between proteins across species, such that both the biological structures and the topological structures of the proteins are maximally conserved. The research on GAB...
Proteins Models, Biological Algorithms Protein Interaction Maps Computational Biology Machine Learning
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A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Knowledge of protein functions plays an important role in biology and medicine. With the rapid development of high-throughput technologies, a huge number of proteins have been discovered. However, there are a great number of proteins without function...
Software Computational Biology Proteins Amino Acid Sequence Algorithms Deep Learning Protein Interaction Maps Molecular Sequence Annotation Gene Ontology
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DeepRank: a deep learning framework for data mining 3D protein-protein interfaces.

Nature communications Dec 3, 2021
Three-dimensional (3D) structures of protein complexes provide fundamental information to decipher biological processes at the molecular scale. The vast amount of experimentally and computationally resolved protein-protein interfaces (PPIs) offers th...
Molecular Docking Simulation Deep Learning Protein Interaction Mapping Protein Interaction Maps Protein Interaction Domains and Motifs Data Mining Crystallography Datasets as Topic
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Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery.

Genes Dec 2, 2021
OBJECTIVES: Dilated cardiomyopathy (DCM) is characterized by a specific transcriptome. Since the DCM molecular network is largely unknown, the aim was to identify specific disease-related molecular targets combining an original machine learning (ML) ...
Cardiomyopathy, Dilated Protein Interaction Maps Computational Biology Sequence Analysis, RNA Machine Learning Severity of Illness Index Adult Humans Biomarkers Transcriptome Female Male Case-Control Studies Middle Aged
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Construction and external validation of a 5-gene random forest model to diagnose non-obstructive azoospermia based on the single-cell RNA sequencing of testicular tissue.

Aging Nov 4, 2021
Non-obstructive azoospermia (NOA) is among the most severe factors for male infertility, but our understandings of the latent biological mechanisms remain insufficient. The single-cell RNA sequencing (scRNA-seq) data of 432 testicular cells isolated ...
Male Azoospermia Humans Single-Cell Analysis Transcriptome Machine Learning Protein Interaction Maps Diagnosis, Computer-Assisted Adult RNA-Seq
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LGFC-CNN: Prediction of lncRNA-Protein Interactions by Using Multiple Types of Features through Deep Learning.

Genes Oct 24, 2021
Long noncoding RNA (lncRNA) plays a crucial role in many critical biological processes and participates in complex human diseases through interaction with proteins. Considering that identifying lncRNA-protein interactions through experimental methods...
Protein Interaction Maps Gene Regulatory Networks Computational Biology RNA-Binding Proteins RNA, Long Noncoding Datasets as Topic Neural Networks, Computer Animals Deep Learning Humans
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New Frontiers for Machine Learning in Protein Science.

Journal of molecular biology Sep 6, 2021
Protein function is fundamentally reliant on inter-molecular interactions that underpin the ability of proteins to form complexes driving biological processes in living cells. Increasingly, such interactions are recognised as being formed between pro...
Protein Aggregates Phase Transition Protein Folding Humans Animals Machine Learning Protein Interaction Maps Proteins
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A machine learning framework for predicting drug-drug interactions.

Scientific reports Sep 2, 2021
Understanding drug-drug interactions is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods, commonly integrating heterogeneous data to increase model performance, often suffer from a hig...
Drug Interactions Protein Interaction Maps Computational Biology Signal Transduction Humans Machine Learning Drug Discovery
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Predicting mutant outcome by combining deep mutational scanning and machine learning.

Proteins Jul 31, 2021
Deep mutational scanning provides unprecedented wealth of quantitative data regarding the functional outcome of mutations in proteins. A single experiment may measure properties (eg, structural stability) of numerous protein variants. Leveraging the ...
Proteins Mutation DNA Mutational Analysis Machine Learning Protein Interaction Maps High-Throughput Nucleotide Sequencing Algorithms Computational Biology Models, Statistical
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