AIMC Topic: Evolution, Molecular
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Artificial intelligence in peer review: How can evolutionary computation support journal editors?
PloS one
Sep 20, 2017
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce edi...
Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins.
Journal of theoretical biology
Sep 18, 2017
Mycobacterium is a pathogenic bacterium, which is a causative agent of tuberculosis (TB) and leprosy. These diseases are very crucial and become the cause of death of millions of people every year in the world. So, the characterize structure of membr...
Subcellular localization prediction of apoptosis proteins based on evolutionary information and support vector machine.
Artificial intelligence in medicine
May 24, 2017
OBJECTIVES: In this paper, a high-quality sequence encoding scheme is proposed for predicting subcellular location of apoptosis proteins.
Memory and betweenness preference in temporal networks induced from time series.
Scientific reports
Feb 3, 2017
We construct temporal networks from time series via unfolding the temporal information into an additional topological dimension of the networks. Thus, we are able to introduce memory entropy analysis to unravel the memory effect within the considered...
Large-scale inference of gene function through phylogenetic annotation of Gene Ontology terms: case study of the apoptosis and autophagy cellular processes.
Database : the journal of biological databases and curation
Dec 26, 2016
We previously reported a paradigm for large-scale phylogenomic analysis of gene families that takes advantage of the large corpus of experimentally supported Gene Ontology (GO) annotations. This 'GO Phylogenetic Annotation' approach integrates GO ann...
WORMHOLE: Novel Least Diverged Ortholog Prediction through Machine Learning.
PLoS computational biology
Nov 3, 2016
The rapid advancement of technology in genomics and targeted genetic manipulation has made comparative biology an increasingly prominent strategy to model human disease processes. Predicting orthology relationships between species is a vital componen...
Can computational efficiency alone drive the evolution of modularity in neural networks?
Scientific reports
Aug 30, 2016
Some biologists have abandoned the idea that computational efficiency in processing multipart tasks or input sets alone drives the evolution of modularity in biological networks. A recent study confirmed that small modular (neural) networks are relat...
Machine Learning of Protein Interactions in Fungal Secretory Pathways.
PloS one
Jul 21, 2016
In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer setting, where training data is obtained from a single species and the objective is to predict prote...
A new approach to the automatic identification of organism evolution using neural networks.
Bio Systems
Mar 11, 2016
Automatic identification of organism evolution still remains a challenging task, which is especially exiting, when the evolution of human is considered. The main aim of this work is to present a new idea to allow organism evolution analysis using neu...
Protein folds recognized by an intelligent predictor based-on evolutionary and structural information.
Journal of computational chemistry
Oct 27, 2015
Protein fold recognition is an important and essential step in determining tertiary structure of a protein in biological science. In this study, a model termed NiRecor is developed for recognizing protein folds based on artificial neural networks inc...
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