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Channel attention mechanisms have been commonly applied in many visual tasks for effective performance improvement. It is able to reinforce the informative channels as well as to suppress the useless channels. Recently, different channel…

Machine Learning · Computer Science 2021-08-11 Jiyang Xie , Dongliang Chang , Zhanyu Ma , Guoqiang Zhang , Jun Guo

Designing protein-binding proteins with high affinity is critical in biomedical research and biotechnology. Despite recent advancements targeting specific proteins, the ability to create high-affinity binders for arbitrary protein targets…

Machine Learning · Computer Science 2025-11-03 Zhenqiao Song , Tiaoxiao Li , Lei Li , Martin Renqiang Min

The correlation between the nuclear stopping and the scale invariant nucleon sideward flow at energies ranging from those available at the GSI heavy ion synchrotron (SIS) to those at the CERN Super Proton Synchrotron (SPS) is studied within…

Nuclear Theory · Physics 2008-11-07 Xiao-Feng Luo , Ming Shao , Xin Dong , Cheng Li

We discuss recent investigations of the interaction of polyelectrolytes with proteins. In particular, we review our recent studies on the interaction of simple proteins such as human serum albumin (HSA) or lysozyme with linear…

Soft Condensed Matter · Physics 2018-10-09 Xiao Xu , Stefano Angioletti-Uberti , Yan Lu , Joachim Dzubiella , Matthias Ballauff

Membrane protein classification is a fundamental task in structural bioinformatics, critical to understanding protein functions and accelerating drug discovery. In this study, we propose MP-GCAN, a novel graph-based classification model…

Quantitative Methods · Quantitative Biology 2025-07-22 Kunyang Li , Hongfu Lou , Dinan Peng

Neurodegenerative diseases, such as Alzheimer's and Parkinson's, pose a growing global health burden. Prolyl oligopeptidase (PREP) has emerged as a potential therapeutic target in these diseases. Recent studies have shown that direct…

Chemical Physics · Physics 2025-03-20 Katarzyna Walczewska-Szewc , Jakub Rydzewski

High input intensities are usually required to efficiently excite optical nonlinear effects in ultrathin structures. This problem is particularly critical at terahertz (THz) frequencies because high input power THz sources are not…

Optics · Physics 2019-02-27 Tianjing Guo , Boyuan Jin , Christos Argyropoulos

Nanoparticles coated with hydrophilic polymers often show a reduction in unspecific interactions with the biological environment, which improves their biocompatibility. The molecular determinants of this reduction are not very well…

Soft Condensed Matter · Physics 2018-10-30 Giovanni Settanni , Timo Schäfer , Christian Muhl , Matthias Barz , Friederike Schmid

The strong coupling of plasmonic resonance modes in conductive pyramidal nanoparticles leads to an increase in the density of free charges on the surface. By ensuring plasmonic coupling in the pyramidal nanoparticle lattice, the achieved…

Single-cell transcriptomics enabled the study of cellular heterogeneity in response to perturbations at the resolution of individual cells. However, scaling high-throughput screens (HTSs) to measure cellular responses for many drugs remains…

Machine Learning · Computer Science 2023-01-03 Leon Hetzel , Simon Böhm , Niki Kilbertus , Stephan Günnemann , Mohammad Lotfollahi , Fabian Theis

Polyphenols and proteins are essential biomolecules that influence food functionality and, by extension, human health. Their interactions -- hereafter referred to as PhPIs (polyphenol-protein interactions) -- affect key processes such as…

Biomolecules · Quantitative Biology 2025-08-06 Qiang Liu , Tiantian Wang , Binbin Nian , Feiyang Ma , Siqi Zhao , Andrés F. Vásquez , Liping Guo , Chao Ding , Mehdi D. Davari

G protein-coupled receptors (GPCRs) govern diverse physiological processes and are central to modern pharmacology. Yet discovering GPCR modulators remains challenging because receptor activation often arises from complex allosteric effects…

Machine Learning · Computer Science 2026-02-03 Jingjie Ning , Xiangzhen Shen , Li Hou , Shiyi Shen , Jiahao Yang , Junrui Li , Hong Shan , Sanan Wu , Sihan Gao , H. Eric Xu , Xinheng He

Plasmonic nanoparticles (NPs) integrated within thermoresponsive polymeric microgels provide a versatile platform for the realization of stimuli-responsive optical materials, where the microgel volume phase transition enables dynamic…

We study the effects of repulsive four-body interactions of $\alpha$ particles on nuclear $\alpha$-particle condensates in heavy self-conjugate nuclei using a semi-analytic approach, and find that the repulsive four-body interactions could…

Nuclear Theory · Physics 2018-05-23 Dong Bai , Zhongzhou Ren

Infections depend on interactions between pathogen and host proteins, but comprehensively mapping these interactions is challenging and labor intensive. Many biological networks have hierarchical, scale-free structure, so we developed a…

Molecular Networks · Quantitative Biology 2025-11-19 Xiaoqiong Xia , Cesar de la Fuente-Nunez

Pituitary gonadotropins play an essential and pivotal role in the control of human and animal reproduction within the hypothalamic-pituitary-gonadal (HPG) axis. The computational modeling of pituitary gonadotropin signaling encompasses…

Molecular Networks · Quantitative Biology 2018-08-02 Romain Yvinec , Pascale Crépieux , Eric Reiter , Anne Poupon , Frédérique Clément

Cancer cell response to targeted therapy arises from complex molecular interactions, making single omics insufficient for accurate prediction. This study develops a model to predict Dabrafenib sensitivity by integrating multiple omics…

In the cell, proteins fold and perform complex functions through global structural rearrangements. Function requires a protein to be at the brink of stability to be susceptible to small environmental fluctuations, yet stable enough to…

In neuroscience, researchers typically conduct experiments under multiple conditions to acquire neural responses in the form of high-dimensional spike train datasets. Analysing high-dimensional spike data is a challenging statistical…

Machine Learning · Computer Science 2024-10-28 Yididiya Y. Nadew , Xuhui Fan , Christopher J. Quinn

The recent focus on microbes in human medicine highlights their potential role in the genetic framework of diseases. To decode the complex interactions among genes, microbes, and diseases, computational predictions of gene-microbe-disease…

Machine Learning · Computer Science 2024-06-28 Kexin Zhang , Feng Huang , Luotao Liu , Zhankun Xiong , Hongyu Zhang , Yuan Quan , Wen Zhang