The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...
Recently, a range of effective methods have been developed for predicting protein-protein interactions (PPIs). Among them, the methods based on data derived from protein sequences and structures have ...
In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
Our Aliphatic Index Calculator is a comprehensive web-based tool designed to analyze the biochemical and physical parameters of your protein sequences. It processes a primary amino acid sequence to ...
Kevin K. Yang, Sarah Alamdari, Alex J. Lee, Kaeli Kaymak-Loveless, Samir Char, Garyk Brixi, Carles Domingo-Enrich, Chentong Wang, Suyue Lyu, Nicolo Fusi, Philip Rosenfield, Neil Tenenholtz, Ava P.
PEPE (Pipeline for Easy Protein Embedding) is a tool for extracting embeddings and attention matrices from protein sequences using pre-trained models. This tool supports various configurations for ...
Our Protein Extinction Coefficient Calculator is a comprehensive, web-based tool designed to analyze the essential biochemical and physical properties of your protein sequences. By simply inputting a ...
[2025.05.20] Our paper has been submitted to Journal of Chemical Information and Modeling (JCIM), and the first round of revisions has been completed. [2025.06.18] Our paper has been accepted by JCIM.
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