Xiansong Huang
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View article: Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence
Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence Open
Predicting the protein stability changes upon mutations is one of the effective ways to improve the efficiency of protein engineering. Here, we propose a dual-view ensemble learning-based framework, DVE-stability, for mutation-induced prot…
View article: Generative prediction of real-world prevalent SARS-CoV-2 mutation with <i>in silico</i> virus evolution
Generative prediction of real-world prevalent SARS-CoV-2 mutation with <i>in silico</i> virus evolution Open
Predicting the mutation prevalence trends of emerging viruses in the real world is an efficient means to update vaccines or drugs in advance. It is crucial to develop a computational method for the prediction of real-world prevalent SARS-C…
View article: Factors Influencing Preoperative Blood Pressure Fluctuations in Patients Undergoing Elective Surgery: A Retrospective Observational Study
Factors Influencing Preoperative Blood Pressure Fluctuations in Patients Undergoing Elective Surgery: A Retrospective Observational Study Open
Significant increases in preoperative blood pressure were observed upon patient entry into the operating room. Older age, preoperative hypertension, and inadequate sleep duration were identified as independent risk factors for blood pressu…
View article: Multi-purpose enzyme-substrate interaction prediction with progressive conditional deep learning
Multi-purpose enzyme-substrate interaction prediction with progressive conditional deep learning Open
Understanding and modeling enzyme-substrate interactions is crucial for designing enzymes with tailored functions, thereby advancing the field of enzyme engineering. The diversity of downstream tasks related to enzyme catalysis calls for a…
View article: Generative prediction of real-world prevalent SARS-CoV-2 mutation with in silico virus evolution
Generative prediction of real-world prevalent SARS-CoV-2 mutation with in silico virus evolution Open
Predicting the mutation prevalence trends of emerging viruses in the real world is an efficient means to update vaccines or drugs in advance. It is crucial to develop a computational method for the prediction of real-world prevalent SARS-C…
View article: Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence
Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence Open
Predicting the protein stability changes upon mutations is one of the effective ways to improve the efficiency of protein engineering. Here, we propose a dual-view ensemble learning-based framework, DVE-stability, for mutation-induced prot…
View article: Interpretable antibody-antigen interaction prediction by introducing route and priors guidance
Interpretable antibody-antigen interaction prediction by introducing route and priors guidance Open
With the application of personalized and precision medicine, more precise and efficient antibody drug development technology is urgently needed. Identification of antibody-antigen interactions is crucial to antibody engineering. The time-c…
View article: Introducing π-HelixNovo for practical large-scale de novo peptide sequencing
Introducing π-HelixNovo for practical large-scale de novo peptide sequencing Open
De novo peptide sequencing is a promising approach for novel peptide discovery, highlighting the performance improvements for the state-of-the-art models. The quality of mass spectra often varies due to unexpected missing of certain ions, …
View article: Multiple sequence alignment-based RNA language model and its application to structural inference
Multiple sequence alignment-based RNA language model and its application to structural inference Open
Compared with proteins, DNA and RNA are more difficult languages to interpret because four-letter coded DNA/RNA sequences have less information content than 20-letter coded protein sequences. While BERT (Bidirectional Encoder Representatio…
View article: Introducing<i>π</i>-HelixNovo for practical large-scale de novo peptide sequencing
Introducing<i>π</i>-HelixNovo for practical large-scale de novo peptide sequencing Open
De novo peptide sequencing is a promising approach for novel peptide discovery. We use a novel concept of complementary spectra to enhance ion information and propose a de novo sequencing model π -HelixNovo based on Transformer architectur…
View article: Analysis of the factors influencing the preoperative blood pressure fluctuation in patients undergoing elective surgery
Analysis of the factors influencing the preoperative blood pressure fluctuation in patients undergoing elective surgery Open
Background and Aims : To analyze the factors affecting preoperative blood pressure fluctuations in patients undergoing elective surgical surgery. Methods and Results : In 776 elective surgical patients from January to October 2021, the cha…
View article: Multiple sequence-alignment-based RNA language model and its application to structural inference
Multiple sequence-alignment-based RNA language model and its application to structural inference Open
Compared to proteins, DNA and RNA are more difficult languages to interpret because 4-letter-coded DNA/RNA sequences have less information content than 20-letter-coded protein sequences. While BERT (Bidirectional Encoder Representations fr…
View article: Running ahead of evolution - AI based simulation for predicting future high-risk SARS-CoV-2 variants
Running ahead of evolution - AI based simulation for predicting future high-risk SARS-CoV-2 variants Open
The never-ending emergence of SARS-CoV-2 variations of concern (VOCs) has challenged the whole world for pandemic control. In order to develop effective drugs and vaccines, one needs to efficiently simulate SARS-CoV-2 spike receptor bindin…
View article: OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms Open
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms. Various medical image analy…
View article: A Design of Biomimetic Prosthetic Hand
A Design of Biomimetic Prosthetic Hand Open
Many patients with upper limb defects desire myoelectric prosthetic hands, but they are still not used for some reasons. One of the most significant reasons is its external appearance, which has the discomfort caused by the structural diff…
View article: Multi-Task Classification and Segmentation for Explicable Capsule Endoscopy Diagnostics
Multi-Task Classification and Segmentation for Explicable Capsule Endoscopy Diagnostics Open
Capsule endoscopy is a leading diagnostic tool for small bowel lesions which faces certain challenges such as time-consuming interpretation and harsh optical environment inside the small intestine. Specialists unavoidably waste lots of tim…