Structural Analysis of Inhibitor Binding to Enterovirus-D68 3C Protease by Vincent N. Azzolino, Ala M. Shaqra, Akbar Ali, Nese Kurt Yilmaz, Celia A. Schiffer

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The protein structurome of Orthornavirae and its dark matter by Pascal Mutz, Antonio Pedro Camargo, Harutyun Sahakyan, Uri Neri, Anamarija Butkovic, Yuri I. Wolf, Mart Krupovic, Valerian V. Dolja, Eugene V. Koonin

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Protein Backbone Torsion Angle-Based Structure Comparison and Secondary Structure Database Web Server by Sunghoon Jung, Se-Eun Bae, Insung Ahn, Hyeon S. Son

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Structure‐based computational design of antibody mimetics: challenges and perspectives by Elton J. F. Chaves, Danilo F. Coêlho, Carlos H. B. Cruz, Emerson G. Moreira, Júlio C. M. Simões, Manassés J. Nascimento‐Filho, Roberto D. Lins

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Deodorization of Egg White Powder by Ozone Treatment and Underlying Mechanism by XIN Xiaojuan, LIU Ying, MA Lulu, HUO Jiaying, GAO Ying, DONG Shijian, LIU Liya, WANG Fengzhong, LI Shugang

Subjects: “…egg white powder; off-flavor; ozone treatment; protein structure; binding force…”
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Molecular characterization and lineage analysis of canine astrovirus strains from dogs with gastrointestinal disease in Ecuador based on ORF-2 gene analysis by Anthony Loor-Giler, Anthony Loor-Giler, Silvana Santander-Parra, Sara Castillo-Reyes, Martín Campos, Martín Campos, Renan Mena-Perez, Renan Mena-Perez, Santiago Prado-Chiriboga, Santiago Prado-Chiriboga, Luis Nunez, Luis Nunez

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S‐PLM: Structure‐Aware Protein Language Model via Contrastive Learning Between Sequence and Structure by Duolin Wang, Mahdi Pourmirzaei, Usman L. Abbas, Shuai Zeng, Negin Manshour, Farzaneh Esmaili, Biplab Poudel, Yuexu Jiang, Qing Shao, Jin Chen, Dong Xu

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Effect of ultrasound on the functional properties and structural changes of chicken liver insoluble proteins isolated by isoelectric solubilization/precipitation by Rongrong Mao, Guoyuan Xiong, Haibo Zheng, Jun Qi, Chunhui Zhang

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Synergistic cryoprotective effects of mannan oligosaccharides and curdlan on the grass carp surimi by Yanxin Lin, Lingzhi Zhang, Wanting Tang, Jing Ren, Yijie Mo, Xiao Guo, Lizhong Lin, Yuqin Ding

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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

Subjects: “…protein structure prediction…”
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Characterization of physicochemical and immunogenic properties of allergenic proteins altered by food processing: a review by Enning Zhou, Qiangqiang Li, Dan Zhu, Gang Chen, Liming Wu

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Interfacial Properties and Structure of Emulsions and Foams Co-Stabilized by Span Emulsifiers of Varying Carbon Chain Lengths and Egg Yolk Granules by Wenyan Liu, Jingxia Cao, Qixin Zhang, Weiqin Wang, Yuanping Ye, Senwang Zhang, Leiyan Wu

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Computer simulation of the spatial structure of MUC 1 peptides capable of inhibiting apoptosis by N. V. Ivanisenko, I. N. Lavrik, V. A. Ivanisenko

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THE MAIN PROPERTIES AND EVOLUTIONARY FEATURES OF ANTIFREEZE PROTEINS by L. L. Bildanova, E. A. Salina, V. K. Shumiy

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REVIEW ON PROTEIN FOOTPRINTING AS A TOOL IN STRUCTURAL BIOLOGY by Oluwatosin Ogundairo, Oluwatoyin Ayo-Farai, Chinedu Paschal Maduka, Chiamaka Chinaemelum Okongwu, Abdulraheem Olaide Babarinde, Olamide Sodamade

“…Protein footprinting has emerged as a powerful and versatile technique in structural biology, providing valuable insights into protein structure, dynamics, and conformational changes. …”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

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Severe deviation in protein fold prediction by advanced AI: a case study by Jacinto López-Sagaseta, Alejandro Urdiciain

“…Abstract Artificial intelligence (AI) and deep learning are making groundbreaking strides in protein structure prediction. AlphaFold is remarkable in this arena for its outstanding accuracy in modelling proteins fold based solely on their amino acid sequences. …”
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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

“…Despite advancements, the accuracy of computational methods remains modest, especially when compared to protein structure prediction. Deep learning methods, while successful in protein structure prediction, have shown some promise for RNA structure prediction as well, but face unique challenges. …”
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Cloning, expression pattern analysis, and vector construction of the BvNAC40 gene in sugar beet by FAN Ziqi, SUN Yaqing, LI Ningning, ZHANG Shaoying, LI Guolong

“…[Methods] BvNAC40 gene was cloned using the PCR method, and its protein structure was analyzed by bioinformatics methods. …”
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Modify possibilities of the secondary structures prediction method by Alvydas Špokas, Albertas Timinskas

“… It was analyzed dependence of the average accuracy of secondary protein structure prediction on various GOR algorithm modifications. …”
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