A Simulated Annealing Algorithm for Randomizing Weighted Networks

Research on Weighted Network Randomization Based on Simulated Annealing Algorithm Background Introduction In the field of neuroscience, connectomics is an important branch for studying the structure and function of brain neural networks. With the development of modern imaging technologies, researchers are able to acquire a wealth of biologically me...

A Scalable Framework for Learning the Geometry-Dependent Solution Operators of Partial Differential Equations

Introduction In recent years, solving partial differential equations (PDEs) using numerical methods has played a significant role in various fields such as engineering and medicine. These methods have shown remarkable effectiveness in applications like topology and design optimization as well as clinical prognostication. However, the high computati...

Comprehensive Prediction and Analysis of Human Protein Essentiality Based on a Pretrained Large Language Model

Comprehensive Prediction and Analysis of Human Protein Essentiality Based on a Pretrained Large Language Model Academic Background Human Essential Proteins (HEPs) are crucial for individual survival and development. However, experimental methods for identifying HEPs are often costly, time-consuming, and labor-intensive. Additionally, existing compu...

A Deep Learning Approach for Rational Ligand Generation with Toxicity Control

Latest Research on Deep Learning Applied to Target Protein Ligand Generation: Proposal and Validation of the DeepBlock Framework Background and Research Problem In the drug discovery process, finding ligand molecules that bind to specific proteins has always been a core objective. However, current virtual screening methods are often limited by the ...

Enabling efficient analysis of biobank-scale data with genotype representation graphs

Research Based on Genotype Representation Graph (GRG): A New Framework to Enhance Biobank-Scale Data Analysis Efficiency Academic Background and Research Motivation With the rapid advancement of sequencing technologies, the collection of large-scale genomic data has become increasingly common, especially in the field of human disease association st...

Spin-Symmetry-Enforced Solution of the Many-Body Schrödinger Equation with a Deep Neural Network

Research on Deep Learning Framework for Spin-Symmetry-Enforced Solutions to the Many-Body Schrödinger Equation: A Groundbreaking Achievement In the fields of quantum physics and quantum chemistry, the description of many-body electron systems has always been an important yet highly challenging topic. Accurately characterizing strong electron-electr...

Predicting Crystals Formation from Amorphous Precursors Using Deep Learning Potentials

Predicting the Emergence of Crystals from Amorphous Precursors: Deep Learning Empowers Breakthroughs in Materials Science Background Introduction The process of crystallization from amorphous materials holds significant importance in both natural and laboratory settings. This phenomenon is widespread in various processes ranging from geological to ...

Glepaglutide-Loaded Foam for Inducing Mucosal Healing in Inflammatory Bowel Disease Treatment

A Novel Rectal Foam Formulation for the Treatment of Inflammatory Bowel Disease In recent years, the incidence of inflammatory bowel disease (IBD), characterized by mucosal damage, chronic inflammation, and recurrent episodes, has been steadily rising, yet ideal therapeutic solutions remain elusive. Researchers have identified a 33-amino acid pepti...

Kidney Fibrosis in In Vitro and In Vivo Models: Path Toward Physiologically Relevant Humanized Models

Mechanisms and Research Models of Kidney Fibrosis: Progress Toward Physiologically Relevant Humanized Models Research Background and Problem Statement Chronic Kidney Disease (CKD) is a major global public health issue, estimated to affect more than 10% of the population and is one of the leading causes of mortality. Kidney fibrosis, as a key pathol...

Efficacy and Cellular Mechanism of Biomimetic Marine Adhesive Protein-Based Coating Against Skin Photoaging

Research Advances on the Use of Biomimetic Marine Adhesive Protein Coating for Skin Photoaging Prevention Skin photoaging is a significant global health issue, particularly for individuals exposed to prolonged ultraviolet (UV) radiation in outdoor environments. Its manifestations include a reduction in collagen, increased wrinkles, loss of skin ela...