RFLP-inator: interactive web platform for in silico simulation and complementary tools of the PCR-RFLP technique [0.03%]
基于网页的PCR-RFLP技术虚拟实验平台及互补工具
Kiefer Andre Bedoya Benites,Wilser Andres Garcia-Quispes
Kiefer Andre Bedoya Benites
Polymerase chain reaction - Restriction Fragment Length Polymorphism (PCR-RFLP) is an established molecular biology technique leveraging DNA sequence variability for organism identification, genetic disease detection, biodiversity analysis,...
LINgroups as a Robust Principled Approach to Compare and Integrate Multiple Bacterial Taxonomies [0.03%]
基于LINgroup的细菌分类系统比较和整合方法及其稳健性和原理性研究
Reza Mazloom,N Tessa Pierce-Ward,Parul Sharma et al.
Reza Mazloom et al.
As a central organizing principle of biology, bacteria and archaea are classified into a hierarchical structure across taxonomic ranks from kingdom to subspecies. Traditionally, this organization was based on observable characteristics of f...
Zhenhao Sun,Meng Wang,Shiqi Wang et al.
Zhenhao Sun et al.
In this paper, we propose a Learning-based gEnome Codec (LEC), which is designed for high efficiency and enhanced flexibility. The LEC integrates several advanced technologies, including Group of Bases (GoB) compression, multi-stride coding...
Zhuoping Zhou,Boning Tong,Davoud Ataee Tarzanagh et al.
Zhuoping Zhou et al.
Tensor Canonical Correlation Analysis (TCCA) is a commonly employed statistical method utilized to examine linear associations between two sets of tensor datasets. However, the existing TCCA models fail to adequately address the heterogenei...
Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks with Adaptively Feature-Spatial Balance and Contrastive Learning [0.03%]
基于自适应特征空间平衡和对比学习的图卷积网络在空间分辨转录组学中提升空间域识别能力
Xuena Liang,Junliang Shang,Jin-Xing Liu et al.
Xuena Liang et al.
Recent advancements in spatially transcriptomics (ST) technologies have enabled the comprehensive measurement of gene expression profiles while preserving the spatial information of cells. Combining gene expression profiles and spatial info...
Game-theoretic Flux Balance Analysis Model for Predicting Stable Community Composition [0.03%]
基于博弈论的通量平衡分析模型预测稳定群落组成
Garud Iyengar,Mitch Perry
Garud Iyengar
Models for microbial interactions attempt to understand and predict the steady state network of inter-species relationships in a community, e.g. competition for shared metabolites, and cooperation through cross-feeding. Flux balance analysi...
A Protein-Context Enhanced Master Slave Framework for Zero-Shot Drug Target Interaction Prediction [0.03%]
一种蛋白质背景增强的主从框架用于零样本药物靶点相互作用预测
Yuyang Xu,Jingbo Zhou,Haochao Ying et al.
Yuyang Xu et al.
Drug Target Interaction (DTI) prediction plays a crucial role in in-silico drug discovery, especially for deep learning (DL) models. Along this line, existing methods usually first extract features from drugs and target proteins, and use dr...
Incremental RPN: Hierarchical Region Proposal Network for Apple Leaf Disease Detection in Natural Environments [0.03%]
增量式RPN：自然环境中苹果树叶病害检测的分层区域提议网络
Haixi Zhang,Jiahui Yang,Chenyan Lv et al.
Haixi Zhang et al.
Apple leaf diseases can seriously affect apple production and quality, and accurately detecting them can improve the efficiency of disease monitoring. Owing to the complex natural growth environment, apple leaf lesions may be easily confuse...
MetalPrognosis: A Biological Language Model-Based Approach for Disease-Associated Mutations in Metal-Binding Site Prediction [0.03%]
基于生物语言模型的金属结合位点疾病相关突变预测方法METALPROGNOSIS
Runchang Jia,Zhijie He,Cong Wang et al.
Runchang Jia et al.
Protein-metal ion interactions play a central role in the onset of numerous diseases. When amino acid changes lead to missense mutations in metal-binding sites, the disrupted interaction with metal ions can compromise protein function, pote...
Vina-GPU 2.1: Towards Further Optimizing Docking Speed and Precision of AutoDock Vina and Its Derivatives [0.03%]
Vina-GPU 2.1：迈向进一步优化AutoDock Vina及其衍生物的对接速度和精度
Shidi Tang,Ji Ding,Xiangyu Zhu et al.
Shidi Tang et al.
AutoDock Vina and its derivatives have established themselves as a prevailing pipeline for virtual screening in contemporary drug discovery. Our Vina-GPU method leverages the parallel computing power of GPUs to accelerate AutoDock Vina, and...