This repository contains the codes used for the prediction of moonlighting proteins in the paper "Predictive modeling of moonlighting DNA binding proteins". The repository is organized as the following: 1. The DNA binding protein identifiers and their features that were used to train the models for the prediction of DNA binding Moonlighting proteins. 2. Five feature sets were used to create Catboost models that make predictions. The source code for generating predictions based on all the features and predictions based on particular features is supplied. In addition, the source code for generating maximum and average ensemble predictions has been made available. A detailed explanation is given in README file
Background: Advancements in function prediction algorithms are enabling large scale computational an...
DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and in...
Protein binding microarrays (PBM) are a high throughput technology used to characterize protein-DNA ...
The knowledge of DNA-binding proteins would help to understand the functions of proteins better in c...
Abstract: Protein and DNA have vital role in our biological processes. For accurately predicting DNA...
Nowadays, various machine learning-based approaches using sequence information alone have been propo...
DNA-binding proteins (DBPs) play vital roles in all aspects of genetic activities. However, the iden...
<p>A total of 100 DNA-binding proteins predicted by DBD-Threader were examined individually. (A) Sca...
Background A moonlighting protein refers to a protein that can perform two or more functions. Since ...
DNA- and RNA-binding proteins have diverse roles in various biological processes. Their functions in...
DNA carries the genetic code of life, with different conformations associated with different biologi...
Motivation: A central problem in bioinformatics is the assignment of function to sequenced open read...
According to the National Human Genome Research Institute the amount of genomic data generated on a ...
Abstract only availableThe main objective is to use three state of the art machine learning methods ...
Data set and results for "Improved data sets and evaluation methods for the automatic prediction of ...
Background: Advancements in function prediction algorithms are enabling large scale computational an...
DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and in...
Protein binding microarrays (PBM) are a high throughput technology used to characterize protein-DNA ...
The knowledge of DNA-binding proteins would help to understand the functions of proteins better in c...
Abstract: Protein and DNA have vital role in our biological processes. For accurately predicting DNA...
Nowadays, various machine learning-based approaches using sequence information alone have been propo...
DNA-binding proteins (DBPs) play vital roles in all aspects of genetic activities. However, the iden...
<p>A total of 100 DNA-binding proteins predicted by DBD-Threader were examined individually. (A) Sca...
Background A moonlighting protein refers to a protein that can perform two or more functions. Since ...
DNA- and RNA-binding proteins have diverse roles in various biological processes. Their functions in...
DNA carries the genetic code of life, with different conformations associated with different biologi...
Motivation: A central problem in bioinformatics is the assignment of function to sequenced open read...
According to the National Human Genome Research Institute the amount of genomic data generated on a ...
Abstract only availableThe main objective is to use three state of the art machine learning methods ...
Data set and results for "Improved data sets and evaluation methods for the automatic prediction of ...
Background: Advancements in function prediction algorithms are enabling large scale computational an...
DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and in...
Protein binding microarrays (PBM) are a high throughput technology used to characterize protein-DNA ...