Wei‐Mou Zheng
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Author Swipe
View article: Mechanistic Study of Shixiang Plaster in DFUs Treatment: Network Pharmacology, Animal Experimentation, and LC-MS Analysis
Mechanistic Study of Shixiang Plaster in DFUs Treatment: Network Pharmacology, Animal Experimentation, and LC-MS Analysis Open
DFUs are a common and debilitating complication of diabetes, often leading to poor wound healing and even amputations. Despite advances in treatment, healing remains slow due to factors like impaired angiogenesis and chronic inflammation. …
View article: Analysis of the Current Status and Hotspots of Global Research on Subacromial Impingement Syndrome based on the WOS Database
Analysis of the Current Status and Hotspots of Global Research on Subacromial Impingement Syndrome based on the WOS Database Open
Summary: Goal Based on the Core Collection (web of science, WOS) database, CiteSpace software was used to analyze and discuss the current status and hotspots of global research on subacromial impingement syndrome in the past 20 years, whic…
View article: Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review
Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review Open
View article: Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms
Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms Open
Protein structure prediction is an interdisciplinary research topic that has attracted researchers from multiple fields, including biochemistry, medicine, physics, mathematics, and computer science. These researchers adopt various research…
View article: Accurate and efficient protein sequence design through learning concise local environment of residues
Accurate and efficient protein sequence design through learning concise local environment of residues Open
Motivation Computational protein sequence design has been widely applied in rational protein engineering and increasing the design accuracy and efficiency is highly desired. Results Here, we present ProDESIGN-LE, an accurate and efficient …
View article: Accurate and efficient protein sequence design through learning concise local environment of residues
Accurate and efficient protein sequence design through learning concise local environment of residues Open
Protein sequence design has been widely applied in rational protein engineering and increasing the design accuracy and efficiency is highly desired. Here we present ProDESIGN-LE, an accurate and efficient design approach, which adopts a co…
View article: Impedance matching system using triple liquid stub tuners for high-power ion cyclotron resonance heating in EAST tokamak
Impedance matching system using triple liquid stub tuners for high-power ion cyclotron resonance heating in EAST tokamak Open
Ion cyclotron resonance heating (ICRH), one of the main auxiliary methods, for high-power and long-pulse plasma heating had been developed in Experimental Advanced Superconducting Tokamak (EAST). An impedance matching system, one important…
View article: ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment Motifs
ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment Motifs Open
Template-based modeling (TBM), including homology modeling and protein threading, is one of the most reliable techniques for protein structure prediction. It predicts protein structure by building an alignment between the query sequence un…
View article: CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction Open
View article: ProALIGN: Directly learning alignments for protein structure prediction via exploiting context-specific alignment motifs
ProALIGN: Directly learning alignments for protein structure prediction via exploiting context-specific alignment motifs Open
Template-based modeling (TBM), including homology modeling and protein threading, is one of the most reliable techniques for protein structure prediction. It predicts protein structure by building an alignment between the query sequence un…
View article: ISSEC: inferring contacts among protein secondary structure elements using deep object detection
ISSEC: inferring contacts among protein secondary structure elements using deep object detection Open
Background The formation of contacts among protein secondary structure elements (SSEs) is an important step in protein folding as it determines topology of protein tertiary structure; hence, inferring inter-SSE contacts is crucial to prote…
View article: CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction Open
Protein functions are largely determined by the final details of their tertiary structures, and the structures could be accurately reconstructed based on inter-residue distances. Residue co-evolution has become the primary principle for es…
View article: Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning Open
Following publication of the original article [1], the author explained that there are several errors in the original article
View article: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning Open
View article: Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling Open
View article: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning Open
Accurate prediction of inter-residue contacts of a protein is important to calcu- lating its tertiary structure. Analysis of co-evolutionary events among residues has been proved effective to inferring inter-residue contacts. The Markov ra…
View article: Improving protein fold recognition by extracting fold-specific features from predicted residue–residue contacts
Improving protein fold recognition by extracting fold-specific features from predicted residue–residue contacts Open
Motivation Accurate recognition of protein fold types is a key step for template-based prediction of protein structures. The existing approaches to fold recognition mainly exploit the features derived from alignments of query protein again…
View article: Improving prediction of burial state of residues by exploiting correlation among residues
Improving prediction of burial state of residues by exploiting correlation among residues Open
Our methods enable the accurate prediction of residue burial states, which should greatly facilitate protein structure prediction and evaluation.
View article: FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition
FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition Open
Summary: The protein structure prediction approaches can be categorized into template-based modeling (including homology modeling and threading) and free modeling. However, the existing threading tools perform poorly on remote homologous p…
View article: Improving protein threading accuracy via combining local and global potential using TreeCRF model
Improving protein threading accuracy via combining local and global potential using TreeCRF model Open
Protein structure prediction remains to be an open problem in bioinformatics. There are two main categories of methods for protein structure prediction: Free Modeling (FM) and Template Based Modeling (TBM). Protein threading, belonging to …
View article: TOPO: Improving remote homologue recognition via identifying common protein structure framework
TOPO: Improving remote homologue recognition via identifying common protein structure framework Open
Protein structure prediction remains a challenge in the field of computational biology. Traditional protein structure prediction approaches include template-based modelling (say, homology modelling, and threading), and ab initio. A threadi…