A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

Once a sequence’s fitness reaches a threshold, its predicted structure (raw structure) is returned for sequence redesign and computational validation. The second stage uses an autoregressive diffusion ...

However, story structure is a helpful tool to keep you on track, no matter what the end result looks like. And one of the most often used (and reliable) structures is called Freytag’s Pyramid.

By leveraging the sequence-structure relationship inherent in protein-DNA complex structures, IDEA achieves accurate de novo prediction using only a few protein-DNA complexes within the same protein ...

Designing accurate all-atom protein structures is a critical challenge in bioengineering, as it involves generating both 3D structural data and 1D sequence information to define side-chain atom ...

Resolving the sequence and structure of flexible biomolecules such as DNA is crucial to understanding their biological mechanisms and functions. Traditional structural biology methods remain ...

Herein, we introduce TAPERSS (Theoretical Analyses, Prediction, and Evaluation of RNA Structures from Sequence), a physics-based fragment assembly method for predicting 3D RNA structures from sequence ...

Nevertheless, in this work, we still used sequence profiles derived from sequence homologs. In the past months, several groups (7 – 11) have studied deep learning methods for single-sequence-based ...

Malicious JavaScript code in web applications poses a significant threat as cyber attackers exploit it to perform various malicious activities. Detecting these malicious scripts is challenging, given ...