Sequence Analysis

PyPropel provides a Python interface to better pre-processing and post-processing protein data. pre-processing: interaction sites, protein datasets, protein features, etc. post-processing: statistics plot, evaluation, protein functional classes, etc.

Mar 1, 2025

TMKit is an open-source Python programming interface, which is modular, scalable, and specifically designed for processing transmembrane protein data. It enables users to perform database wrangling, engineer features at the mutational, domain, and topological levels, and visualise protein-protein interaction interfaces through its unique programming interface.

Aug 17, 2023

DeepdlncUD is used to predict the regulation types of small molecules on modulating lncRNA expression. This method is powered by 9 deep learning models.

Jul 1, 2023

Drutai is used to predict interactions between small molecule drugs and protein targets. This program has been made by using 12 leading deep learning frameworks.

May 17, 2023

DeepsmirUD is used to predict the regulation types of small molecules on modulating microRNA expression. This method is powered by 12 deep learning models.

Jan 18, 2023

DeepTMInter is a deep-learning-based approach for predicting interaction sites in transmembrane proteins. It was developed using stacked generalization ensembles of ultradeep residual neural networks.

Mar 9, 2021

DeepTMInter is a predictor for accurately predicting inter-helical residue contacts in transmembrane proteins.

Jul 11, 2020

Jan 1, 2020