AIMC Topic: Proteins

Clear Filters Showing 1001 to 1010 of 1970 articles

Chances and challenges of machine learning-based disease classification in genetic association studies illustrated on age-related macular degeneration.

Genetic epidemiology Aug 2, 2020
Imaging technology and machine learning algorithms for disease classification set the stage for high-throughput phenotyping and promising new avenues for genome-wide association studies (GWAS). Despite emerging algorithms, there has been no successfu...
Diagnostic Errors Genome-Wide Association Study Models, Genetic Algorithms Phenotype United Kingdom Likelihood Functions High-Temperature Requirement A Serine Peptidase 1 Proteins Macular Degeneration Humans Machine Learning
View on PubMed DOI

Moonlighting Proteins in the Fuzzy Logic of Cellular Metabolism.

Molecules (Basel, Switzerland) Jul 29, 2020
The numerous interconnected biochemical pathways that make up the metabolism of a living cell comprise a fuzzy logic system because of its high level of complexity and our inability to fully understand, predict, and model the many activities, how the...
Metabolic Networks and Pathways Models, Biological Energy Metabolism Fuzzy Logic Humans Animals Proteins Protein Binding
View on PubMed DOI

Predicting protein model correctness in Coot using machine learning.

Acta crystallographica. Section D, Structural biology Jul 27, 2020
Manually identifying and correcting errors in protein models can be a slow process, but improvements in validation tools and automated model-building software can contribute to reducing this burden. This article presents a new correctness score that ...
Machine Learning Software Proteins Protein Conformation Crystallography, X-Ray Models, Molecular
View on PubMed DOI

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics.

Cell systems Jul 24, 2020
Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments of methods to infer pro...
Crowdsourcing Proteins Phosphoproteins Genomics Proteomics Machine Learning Female Neoplasms Transcriptome Male Humans
View on PubMed DOI

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems.

Journal of chemical theory and computation Jul 16, 2020
Machine learning encompasses tools and algorithms that are now becoming popular in almost all scientific and technological fields. This is true for molecular dynamics as well, where machine learning offers promises of extracting valuable information ...
Machine Learning Proteins Molecular Dynamics Simulation
View on PubMed DOI

Pair Potentials as Machine Learning Features.

Journal of chemical theory and computation Jul 6, 2020
Atom pairwise potential functions make up an essential part of many scoring functions for protein decoy detection. With the development of machine learning (ML) tools, there are multiple ways to combine potential functions to create novel ML models a...
Machine Learning Proteins
View on PubMed DOI

Protein-Protein Interactions Efficiently Modeled by Residue Cluster Classes.

International journal of molecular sciences Jul 6, 2020
Predicting protein-protein interactions (PPI) represents an important challenge in structural bioinformatics. Current computational methods display different degrees of accuracy when predicting these interactions. Different factors were proposed to h...
Databases, Protein Protein Interaction Mapping Sequence Analysis, Protein Cluster Analysis Proteins Artificial Intelligence Algorithms Computational Biology Machine Learning
View on PubMed DOI

Identification of ligand-binding residues using protein sequence profile alignment and query-specific support vector machine model.

Analytical biochemistry Jul 2, 2020
Information embedded in ligand-binding residues (LBRs) of proteins is important for understanding protein functions. How to accurately identify the potential ligand-binding residues is still a challenging problem, especially only protein sequence is ...
Proteins Databases, Protein Amino Acid Sequence Protein Binding Support Vector Machine Ligands Binding Sites
View on PubMed DOI

Biosystems Design by Machine Learning.

ACS synthetic biology Jun 29, 2020
Biosystems such as enzymes, pathways, and whole cells have been increasingly explored for biotechnological applications. However, the intricate connectivity and resulting complexity of biosystems poses a major hurdle in designing biosystems with desi...
Machine Learning Gene Regulatory Networks Proteins Biotechnology Linear Models Metabolic Engineering Gene Editing
View on PubMed DOI

Predicting protein subcellular location with network embedding and enrichment features.

Biochimica et biophysica acta. Proteins and proteomics Jun 25, 2020
The subcellular location of a protein is highly related to its function. Identifying the location of a given protein is an essential step for investigating its related problems. Traditional experimental methods can produce solid determination. Howeve...
Computational Biology Protein Interaction Maps Protein Interaction Mapping Neural Networks, Computer Decision Trees Protein Binding Protein Transport Algorithms Proteins Intracellular Space Gene Ontology
View on PubMed DOI
Popular Topics
Recent Journals