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Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assays Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-22 Sangseon Lee, Joonhyeong Park, Yinhua Piao, Dohoon Lee, Danyeong Lee, Sun Kim
Multi-gene assays have been widely used to predict the recurrence risk for hormone receptor (HR)-positive breast cancer patients. However, these assays lack explanatory power regarding the underlying mechanisms of the recurrence risk. To address this limitation, we proposed a novel multi-layered knowledge graph neural network for the multi-gene assays. Our model elucidated the regulatory pathways of
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Proteomics appending a complementary dimension to precision oncotherapy Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-20 Zhaokai Zhou, Ruiqi Zhang, Aoyang Zhou, Jinxiang Lv, Shuang Chen, Haijiao Zou, Ge Zhang, Ting Lin, Zhan Wang, Yuyuan Zhang, Siyuan Weng, Xinwei Han, Zaoqu Liu
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Advanced computational predictive models of miRNA-mRNA interaction efficiency Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-19 Sharon Bader, Tamir Tuller
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Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-18 Corin F. Otesteanu, Reto Caldelari, Volker Heussler, Raphael Sznitman
Malaria, a significant global health challenge, is caused by parasites. The liver stage plays a pivotal role in the establishment of the infection. This study focuses on the liver stage development of the model organism Plasmodium berghei, employing fluorescent microscopy imaging and convolutional neural networks (CNNs) for analysis. Convolutional neural networks have been recently proposed as a viable
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A contrastive learning approach to integrate spatial transcriptomics and histological images Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-17 Yu Lin, Yanchun Liang, Duolin Wang, Yuzhou Chang, Qin Ma, Yan Wang, Fei He, Dong Xu
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Annealed fractional Lévy–Itō diffusion models for protein generation Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-17 Eric Paquet, Farzan Soleymani, Herna Lydia Viktor, Wojtek Michalowski
Protein generation has numerous applications in designing therapeutic antibodies and creating new drugs. Still, it is a demanding task due to the inherent complexities of protein structures and the limitations of current generative models. Proteins possess intricate geometry, and sampling their conformational space is challenging due to its high dimensionality. This paper introduces novel Markovian
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Multi-scale window transformer for cervical cytopathology image recognition Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-16 Jiaxiang Yi, Xiuli Liu, Shenghua Cheng, Li Chen, Shaoqun Zeng
Cervical cancer is a major global health issue, particularly in developing countries where access to healthcare is limited. Early detection of pre-cancerous lesions is crucial for successful treatment and reducing mortality rates. However, traditional screening and diagnostic processes require cytopathology doctors to manually interpret a huge number of cells, which is time-consuming, costly, and prone
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A sustainable balance between innovation and risk: How the “right to science” affects China’s medical biotechnology regulatory policy Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-16 Yiping Han, Lindsay L. Fan, Yang Xue
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Angiopoietin-2, vascular endothelial growth factor family, and heparin binding endothelial growth factor are associated with subclinical atherosclerosis in rheumatoid arthritis Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-16 Anna Pàmies, Dídac Llop, Daiana Ibarretxe, Roser Rosales, Luis Masana, Joan-Carles Vallvé, Silvia Paredes
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Single-cell 5′ RNA sequencing of camelid peripheral B cells provides insights into cellular basis of heavy-chain antibody production Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-16 Li Yi, Xin Guo, Yuexing Liu, Jirimutu, Zhen Wang
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A method for chromatin domain partitioning based on hypergraph clustering Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-16 Haiyan Gong, Sichen Zhang, Xiaotong Zhang, Yang Chen
For many years, multi-scale models of chromatin domains, such as A/B compartments, sub-compartments, topologically associated domains (TADs), sub-TADs, and loops have been popular. However, existing methods can only identify structures at a single scale and cannot partition multi-scale structures. In this paper, we proposed a method (TORNADOES) for chromatin domain partitioning based on hypergraph
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RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-15 Upendra Kumar Pradhan, Sanchita Naha, Ritwika Das, Ajit Gupta, Rajender Parsad, Prabina Kumar Meher
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TCMM: A unified database for traditional Chinese medicine modernization and therapeutic innovations Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-15 Zhixiang Ren, Yiming Ren, Zeting Li, Huan Xu
Mining the potential of traditional Chinese medicine (TCM) in treating modern diseases requires a profound understanding of its action mechanism and a comprehensive knowledge system that seamlessly bridges modern medical insights with traditional theories. However, existing databases for modernizing TCM are plagued by varying degrees of information loss, which impede the multidimensional dissection
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Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-14 Jalil Nourisa, Antoine Passemiers, Farhad Shakeri, Maryam Omidi, Heike Helmholz, Daniele Raimondi, Yves Moreau, Sven Tomforde, Hartmuth Schlüter, Bérengère Luthringer-Feyerabend, Christian J. Cyron, Roland C. Aydin, Regine Willumeit-Römer, Berit Zeller-Plumhoff
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Unlocking the specificity of antimicrobial peptide interactions for membrane-targeted therapies Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Daniel Conde-Torres, Martín Calvelo, Carme Rovira, Ángel Piñeiro, Rebeca Garcia-Fandino
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Robot-assisted knee arthroplasty: Analyzing the learning curve and initial institutional experience Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Leandro Ejnisman, Eliane Antonioli, Luciana Cintra, Pamela Gabriela de Oliveira Souza, Lauro Augusto Veloso Costa, Mario Lenza
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Multimodal fused deep learning for drug property prediction: Integrating chemical language and molecular graph Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Xiaohua Lu, Liangxu Xie, Lei Xu, Rongzhi Mao, Xiaojun Xu, Shan Chang
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Pattern analysis using lower body human walking data to identify the gaitprint Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Tyler M. Wiles, Seung Kyeom Kim, Nick Stergiou, Aaron D. Likens
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Glucocorticoid therapy for sepsis in the AI era: a survey on current and future approaches Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Chenglong Liang, Shuo Pan, Wei Wu, Fanxuan Chen, Chengxi Zhang, Chen Zhou, Yifan Gao, Xiangyuan Ruan, Shichao Quan, Qi Zhao, Jingye Pan
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The sensor protein AaSho1 regulates infection structures differentiation, osmotic stress tolerance and virulence via MAPK module AaSte11-AaPbs2-AaHog1 in Alternaria alternata Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Yongxiang Liu, Jing Yuan, Yongcai Li, Yang Bi, Dov B. Prusky
The high-osmolarity-sensitive protein Sho1 functions as a key membrane receptor in phytopathogenic fungi, which can sense and respond to external stimuli or stresses, and synergistically regulate diverse fungal biological processes through cellular signaling pathways. In this study, we investigated the biological functions of in , the causal agent of pear black spot. Targeted gene deletion revealed
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Shifts in the microbial community and metabolome in rumen ecological niches during antler growth Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Songze Li, Ruina Mu, Yuhang Zhu, Fei Zhao, Qiang Qiu, Huazhe Si, André-Denis G. Wright, Zhipeng Li
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Exploring simple triplet representation learning Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-12 Zeyu Ren, Quan Lan, Yudong Zhang, Shuihua Wang
Fully supervised learning methods necessitate a substantial volume of labelled training instances, a process that is typically both labour-intensive and costly. In the realm of medical image analysis, this issue is further amplified, as annotated medical images are considerably more scarce than their unlabelled counterparts. Consequently, leveraging unlabelled images to extract meaningful underlying
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Integration of single-nucleus and exosome RNA sequencing dissected inter-cellular communication and biomarkers in pancreatic ductal adenocarcinoma Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 Rong Tang, Zifeng Zhang, Jin Xu, Wei Wang, Qingcai Meng, Yuan Liu, Qiong Du, Chen Liang, Jie Hua, Bo Zhang, Xianjun Yu, Si Shi
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Context-dependent genomic locus effects on antibody production in recombinant Chinese hamster ovary cells generated through random integration Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 Hyun Jee Woo, Jaehoon Kim, Seul Mi Kim, Dongwoo Kim, Jae Yun Moon, Daechan Park, Jae Seong Lee
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Structural and functional analyses of nematode-derived antimicrobial peptides support the occurrence of direct mechanisms of worm-microbiota interactions Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 James Rooney, Esperanza Rivera-de-Torre, Ruizhe Li, Kevin Mclean, Daniel R.G. Price, Alasdair J. Nisbet, Andreas H. Laustsen, Timothy P. Jenkins, Andreas Hofmann, Somenath Bakshi, Ashraf Zarkan, Cinzia Cantacessi
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Explainable machine learning model for identifying key gut microbes and metabolites biomarkers associated with myasthenia gravis Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 Che-Cheng Chang, Tzu-Chi Liu, Chi-Jie Lu, Hou-Chang Chiu, Wei-Ning Lin
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Downregulation of ABLIM3 confers to the metastasis of neuroblastoma via regulating the cell adhesion molecules pathway Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 Baocheng Gong, Tongyuan Qu, Jiaojiao Zhang, Yubin Jia, Zian Song, Chong Chen, Jiaxing Yang, Chaoyu Wang, Yun Liu, Yan Jin, Wenfeng Cao, Qiang Zhao
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Co-expression of immune checkpoints in glioblastoma revealed by single-nucleus RNA sequencing and spatial transcriptomics Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 Dingyi Yuan, Wenting Chen, Shasha Jin, Wei Li, Wanmei Liu, Liu Liu, Yinhao Wu, Yuxin Zhang, Xiaoyu He, Jingwei Jiang, Hongbin Sun, Xiangyu Liu, Jun Liu
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Techniques for assessing telomere length: A methodological review Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-10 Hyeon Jong Yu, Yoon Hwan Byun, Chul-Kee Park
Telomeres are located at the ends of chromosomes and have specific sequences with a distinctive structure that safeguards genes. They possess capping structures that protect chromosome ends from fusion events and ensure chromosome stability. Telomeres shorten in length during each cycle of cell division. When this length reaches a certain threshold, it can lead to genomic instability, thus being implicated
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DataXflow: Synergizing data-driven modeling with best parameter fit and optimal control – An efficient data analysis for cancer research Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-08 Samantha A.W. Crouch, Jan Krause, Thomas Dandekar, Tim Breitenbach
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PS-GO parametric protein search engine Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-08 Yanlin Mi, Stefan-Bogdan Marcu, Sabin Tabirca, Venkata V.B. Yallapragada
With the explosive growth of protein-related data, we are confronted with a critical scientific inquiry: How can we effectively retrieve, compare, and profoundly comprehend these protein structures to maximize the utilization of such data resources? PS-GO, a parametric protein search engine, has been specifically designed and developed to maximize the utilization of the rapidly growing volume of protein-related
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Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-07 Hong-Jie Dai, Chien-Chang Chen, Tatheer Hussain Mir, Ting-Yu Wang, Chen-Kai Wang, Ya-Chen Chang, Shu-Jung Yu, Yi-Wen Shen, Cheng-Jiun Huang, Chia-Hsuan Tsai, Ching-Yun Wang, Hsiao-Jou Chen, Pei-Shan Weng, You-Xiang Lin, Sheng-Wei Chen, Ming-Ju Tsai, Shian-Fei Juang, Su-Ying Wu, Wen-Tsung Tsai, Ming-Yii Huang, Chih-Jen Huang, Chih-Jen Yang, Ping-Zun Liu, Chiao-Wen Huang, Chi-Yen Huang, William Yu Chung
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Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-06 Huayi Xing, Nan Liu, Kun Li, Guoqing Cui, Fin Biering-Sørensen
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Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-05 Fei Kong, Xiyue Wang, Jinxi Xiang, Sen Yang, Xinran Wang, Meng Yue, Jun Zhang, Junhan Zhao, Xiao Han, Yuhan Dong, Biyue Zhu, Fang Wang, Yueping Liu
Artificial intelligence (AI) holds significant promise in transforming medical imaging, enhancing diagnostics, and refining treatment strategies. However, the reliance on extensive multicenter datasets for training AI models poses challenges due to privacy concerns. Federated learning provides a solution by facilitating collaborative model training across multiple centers without sharing raw data.
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Multiscale calculations reveal new insights into the reaction mechanism between KRASG12C and α, β-unsaturated carbonyl of covalent inhibitors Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-04 Xiao Yan, Chuanhua Qu, Qin Li, Lei Zhu, Henry H.Y. Tong, Huanxiang Liu, Qin Ouyang, Xiaojun Yao
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Deep learning of pretreatment multiphase CT images for predicting response to lenvatinib and immune checkpoint inhibitors in unresectable hepatocellular carcinoma Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-03 Nan-Qing Liao, Zhu-Jian Deng, Wei Wei, Jia-Hui Lu, Min-Jun Li, Liang Ma, Qing-Feng Chen, Jian-Hong Zhong
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Structure-guided identification and characterization of potent inhibitors targeting PhoP and MtrA to combat mycobacteria Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-03 Han-Li Su, Shu-Jung Lai, Keng-Chang Tsai, Kit-Man Fung, Tse-Lin Lung, Hsing-Mien Hsu, Yi-Chen Wu, Ching-Hui Liu, Hui-Xiang Lai, Jiun-Han Lin, Tien-Sheng Tseng
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GETdb: A comprehensive database for genetic and evolutionary features of drug targets Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-03 Qi Zhang, Yang He, Ya-Ping Lu, Qi-Hao Wei, Hong-Yu Zhang, Yuan Quan
The development of an innovative drug is complex and time-consuming, and the drug target identification is one of the critical steps in drug discovery process. Effective and accurate identification of drug targets can accelerate the drug development process. According to previous research, evolutionary and genetic information of genes has been found to facilitate the identification of approved drug
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Cysteine hyperoxidation rewires communication pathways in the nucleosome and destabilizes the dyad Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-03 Yasaman Karami, Emmanuelle Bignon
Gene activity is tightly controlled by reversible chemical modifications called epigenetic marks, which are of various types and modulate gene accessibility without affecting the DNA sequence. Despite an increasing body of evidence demonstrating the role of oxidative-type modifications of histones in gene expression regulation, there remains a complete absence of structural data at the atomistic level
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A novel framework for human leukocyte antigen (HLA) genotyping using probe capture-based targeted next-generation sequencing and computational analysis Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-02 Sheng-Kai Lai, Allen Chilun Luo, I-Hsuan Chiu, Hui-Wen Chuang, Ting-Hsuan Chou, Tsung-Kai Hung, Jacob Shujui Hsu, Chien-Yu Chen, Wei-Shiung Yang, Ya-Chien Yang, Pei-Lung Chen
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Characteristics and phylogenetic distribution of megaplasmids and prediction of a putative chromid in Pseudomonas aeruginosa Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-02 Nanfei Wang, Xuan Zheng, Sebastian Leptihn, Yue Li, Heng Cai, Piaopiao Zhang, Wenhao Wu, Yunsong Yu, Xiaoting Hua
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Depression assessment using integrated multi-featured EEG bands deep neural network models: Leveraging ensemble learning techniques Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-04-01 Kuo-Hsuan Chung, Yue-Shan Chang, Wei-Ting Yen, Linen Lin, Satheesh Abimannan
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In silico assessment of nanoparticle toxicity powered by the Enalos Cloud Platform: Integrating automated machine learning and synthetic data for enhanced nanosafety evaluation Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-30 Dimitra-Danai Varsou, Panagiotis D. Kolokathis, Maria Antoniou, Nikolaos K. Sidiropoulos, Andreas Tsoumanis, Anastasios G. Papadiamantis, Georgia Melagraki, Iseult Lynch, Antreas Afantitis
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Impact of an irreversible β-galactosylceramidase inhibitor on the lipid profile of zebrafish embryos Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-30 Jessica Guerra, Mirella Belleri, Giulia Paiardi, Chiara Tobia, Davide Capoferri, Marzia Corli, Elisa Scalvini, Marco Ghirimoldi, Marcello Manfredi, Rebecca C. Wade, Marco Presta, Luca Mignani
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The molecular subtypes of autoimmune diseases Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-28 Xiangshu Cheng, Xin Meng, Rui Chen, Zerun Song, Shuai Li, Siyu Wei, Hongchao Lv, Shuhao Zhang, Hao Tang, Yongshuai Jiang, Ruijie Zhang
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EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-27 Gabriella Miles, Melvyn Smith, Nancy Zook, Wenhao Zhang
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Cat-E: A comprehensive web tool for exploring cancer targeting strategies Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-27 Rana Salihoglu, Johannes Balkenhol, Gudrun Dandekar, Chunguang Liang, Thomas Dandekar, Elena Bencurova
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MKG-GC: A multi-task learning-based knowledge graph construction framework with personalized application to gastric cancer Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-27 Yang Yang, Yuwei Lu, Zixuan Zheng, Hao Wu, Yuxin Lin, Fuliang Qian, Wenying Yan
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RIscoper 2.0: A deep learning tool to extract RNA biomedical relation sentences from literature Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-24 Hailong Zheng, Linfu Xu, Hailong Xie, Jiajing Xie, Yapeng Ma, Yongfei Hu, Le Wu, Jia Chen, Meiyi Wang, Ying Yi, Yan Huang, Dong Wang
RNA plays an extensive role in a multi-dimensional regulatory system, and its biomedical relationships are scattered across numerous biological studies. However, text mining works dedicated to the extraction of RNA biomedical relations remain limited. In this study, we established a comprehensive and reliable corpus of RNA biomedical relations, recruiting over 30,000 sentences manually curated from
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Classifying breast cancer and fibroadenoma tissue biopsies from paraffined stain-free slides by fractal biomarkers in Fourier Ptychographic Microscopy Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-24 Vittorio Bianco, Marika Valentino, Daniele Pirone, Lisa Miccio, Pasquale Memmolo, Valentina Brancato, Luigi Coppola, Giovanni Smaldone, Massimiliano D’Aiuto, Gennaro Mossetti, Marco Salvatore, Pietro Ferraro
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Databases of ligand-binding pockets and protein-ligand interactions Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-24 Kristy A. Carpenter, Russ B. Altman
Many research groups and institutions have created a variety of databases curating experimental and predicted data related to protein-ligand binding. The landscape of available databases is dynamic, with new databases emerging and established databases becoming defunct. Here, we review the current state of databases that contain binding pockets and protein-ligand binding interactions. We have compiled
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SERT-StructNet: Protein secondary structure prediction method based on multi-factor hybrid deep model Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-22 Benzhi Dong, Zheng Liu, Dali Xu, Chang Hou, Guanghui Dong, Tianjiao Zhang, Guohua Wang
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Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-19 Justine Labory, Evariste Njomgue-Fotso, Silvia Bottini
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LiViT-Net: A U-Net-like, lightweight Transformer network for retinal vessel segmentation Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-19 Le Tong, Tianjiu Li, Qian Zhang, Qin Zhang, Renchaoli Zhu, Wei Du, Pengwei Hu
The intricate task of precisely segmenting retinal vessels from images, which is critical for diagnosing various eye diseases, presents significant challenges for models due to factors such as scale variation, complex anatomical patterns, low contrast, and limitations in training data. Building on these challenges, we offer novel contributions spanning model architecture, loss function design, robustness
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Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-18 Arjun Sarkar, Jan-Philipp Praetorius, Marc Thilo Figge
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Exploring key features of selectivity in somatostatin receptors through molecular dynamics simulations Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-18 C. Guccione, S. Gervasoni, I. Öztürk, A. Bosin, P. Ruggerone, G. Malloci
Somatostatin receptors (SSTRs) are widely distributed throughout the human body and play crucial roles in various physiological processes. They are recognized as key targets for both radiotherapy and radiodiagnosis due to their overexpression in several cancer types. However, the discovery and design of selective drugs for each of the five isoforms have been significantly hindered by the lack of complete
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Alternative polyadenylation regulates the translation of metabolic and inflammation-related proteins in adipose tissue of gestational diabetes mellitus Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-15 Bingnan Chen, Xuyang Chen, Ruohan Hu, Hongli Li, Min Wang, Linwei Zhou, Hao Chen, Jianqi Wang, Hanwen Zhang, Xiaobo Zhou, Hua Zhang
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Mobile robots for isolation-room hospital settings: A scenario-based preliminary study Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-15 Hye Jin Yoo, Eui Hyun Kim, Hyeongsuk Lee
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SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-15 Wenxing Hu, Masahito Ohue
Rapid advancements in protein sequencing technology have resulted in gaps between proteins with identified sequences and those with mapped structures. Although sequence-based predictions offer insights, they can be incomplete due to the absence of structural details. Conversely, structure-based methods face challenges with respect to newly sequenced proteins. The AlphaFold Multimer has remarkable accuracy
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"Active carbon" is more advantageous to the bacterial community in the rice rhizosphere than "stable carbon" Comput. Struct. Biotechnol. J. (IF 6.0) Pub Date : 2024-03-13 Zongkun Yang, Xin Cui, Xiaoge Fan, Yefeng Ruan, Zhennan Xiang, Lingfei Ji, Han Gao, Min Zhang, Shengdao Shan, Wenbo Liu
Carbon materials are commonly used for soil carbon sequestration and fertilization, which can also affect crop growth by manipulating the rhizosphere bacterial community. However, the comparison of the differences between active carbon (e.g., organic fertilizers) and stable carbon (e.g., biochar) on rhizosphere microdomains is still unclear. Hence, a trial was implemented to explore the influence of