Evolutionary Insights into IL17A in Lagomorphs by Fabiana Neves, Joana Abrantes, Tereza Almeida, Paulo P. Costa, Pedro J. Esteves

“…The differences observed between leporids and humans or rodents might also represent important alterations in protein structure and function. In addition, as for other interleukins, IL17A sequences of human and European rabbit are more closely related than the sequences of human and mouse or European rabbit and mouse. …”
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The amino acids differences in epitopes may promote the different allergenicity of ovomucoid derived from hen eggs and quail eggs by Mengzhen Hao, Shuai Yang, Shiwen Han, Huilian Che

“…The difference in sensitization compare to hen egg ovomucoid may be due to amino acids differences affecting protein structure by changing antigenic epitopes.…”
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Effects of Naringenin and Its Glycosides on Functional Properties of Oat Protein and Their Interaction Mechanism by Wuzhen LIU, Ti LI, Qin GENG, Jun CHEN, Jialong HAN, Chengmei LIU, Taotao DAI

“…To investigate the effect of naringenin and its glycoside (naringin and narirutin) on foaming, emulsifying and interfacial tension of oat protein and their interaction mechanism, in this study, fluorescence spectra and circular dichroism were used to elucidate the interaction mechanism and protein structure changes of oat protein-flavonoid complex system. …”
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Research on the Interaction between Eight Polyphenols and Arachin by Zuwei ZHANG, Rurui LI, Cong YANG, Yongyan MENG, Mingjuan SHEN, Jian SUN, Xuechun ZHANG

“…The interaction patterns of these polyphenols with arachin were analyzed using UV-visible and fluorescence spectroscopy, with a focus on their effects on protein structure, surface hydrophobicity and solubility. …”
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Enterococcus durans SL70, a Novel Exopolysaccharide Producer from Traditional Sourdough Fermentation of Einkorn (Triticum monococcum L. ssp. monococcum) by Berna Genc, Seyda Merve Karatas, Merve Tuğçe Tunç

“…This anionic heteropolysaccharide had, in addition to the carbohydrate backbone, a protein structure that did not contain nucleic acid. The carbohydrate backbone consisted of mannose, glucose, rhamnose, arabinose, xylose and galactose. …”
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An Overview of the Intrinsic Role of Citrullination in Autoimmune Disorders by Mohammed Alghamdi, Doaa Alasmari, Amjad Assiri, Ehab Mattar, Abdullah A. Aljaddawi, Sana G. Alattas, Elrashdy M. Redwan

“…This modification leads to a charge shift, which affects the protein structure, protein-protein interactions, and hydrogen bond formation, and it may cause protein denaturation. …”
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Molecular Characterization and Expression of <i>unc-13d</i> in the Sex Reversal of <i>Monopterus albus</i> by Zitong Lian, Fang Meng, Xueping Xia, Junchao Fang, Haifeng Tian, Qiaomu Hu

“…In this study, we firstly cloned and characterized the sequence and protein structure of <i>unc-13d</i> of <i>M. albus.</i> We found that the genomic structure of <i>unc-13d</i> was different from other species. …”
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Identification of mitophagy-related key genes and their correlation with immune cell infiltration in acute myocardial infarction via bioinformatics analysis by Zulong Sheng, Rui Zhang, Zhenjun Ji, Zhuyuan Liu, Yaqing Zhou

“…We also explored the interactions between the key genes themselves or with miRNAs/transcription factors (TFs) and drug compounds and visualized the protein structure of the key genes. Finally, we explored and validated the expression of key genes in plasma samples of patients with an AMI and healthy individuals.ResultsWe screened 28 MRDEGs in AMI. …”
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In Silico Analysis Revealed Five Novel High-Risk Single-Nucleotide Polymorphisms (rs200384291, rs201163886, rs193141883, rs201139487, and rs201723157) in ELANE Gene Causing Autosom... by Khyber Shinwari, Mikhail A. Bolkov, Muhammad Yasir Akbar, Liu Guojun, Svetlana S. Deryabina, Irina A. Tuzankina, Valery. A. Chereshnev

“…We identified the deleterious nsSNPs, constructed mutant protein structures, and evaluated the impact of mutation by employing molecular docking. …”
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Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors by Deepak T Patel, Peter J Stogios, Lukasz Jaroszewski, Malene L Urbanus, Mayya Sedova, Cameron Semper, Cathy Le, Abraham Takkouche, Keita Ichii, Julie Innabi, Dhruvin H Patel, Alexander W Ensminger, Adam Godzik, Alexei Savchenko

“…By leveraging advancements in 3D protein structure prediction, we provide a comprehensive structural analysis of 368 L. pneumophila effectors, representing a global atlas of predicted functional domains summarized in a database ( https://pathogens3d.org/legionella-pneumophila ). …”
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Effect of Composition and Processing Conditions on Selected Properties of Potato-Based Pellets and Microwave-Expanded Snacks Supplemented with Fresh Beetroot Pulp by Katarzyna Lisiecka, Agnieszka Wójtowicz, Agnieszka Sujak

“…This indicates that the protein structure underwent some form of ordering as the molecular interactions of the proteins intensified. …”
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Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based in silico approaches by David Hoffmann, Joschka Bauer, Markus Kossner, Andrew Henry, Anne R. Karow-Zwick, Giuseppe Licari

“…The predictive accuracy of the model was evaluated for four different states of the protein structure: (1) static homology models, (2) enhancing low-frequency vibrational modes during short molecular dynamics (MD) runs, (3) a combination of (2) with a protonation state reassignment, and (4) conventional full-atomistic MD simulations. …”
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Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization by Jiwei Liu, Lei Wu, Anqi Xie, Weici Liu, Zhao He, Yuan Wan, Wenjun Mao

“…AI’s exceptional performance in protein structure prediction and molecular interaction simulation has introduced novel perspectives and tools for Nb design and optimization. …”
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Computational biology assisted exploration of phytochemicals derived natural inhibitors to block BZLF1 gene activation of Epstein–Bar virus in host by Muhammad Naveed, Muzamal Hussain, Tariq Aziz, Nimra Hanif, Nazia Kanwal, Arooj Arshad, Ayaz Ali Khan, Abdulrahman Alshammari, Metab Alharbi

“…Various bioinformatics methods were employed to predict and analyze the toxin protein structure obtained from NCBI, and its secondary and tertiary structures were predicted using PSIPRED and the AlphaFold. …”
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Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

“…Specifically, students learn (i) how to search proteins of interest from the PDB archive, (ii) basic supercomputer skills, (iii) how to prepare datasets, (iv) how to perform protein structure and sequence analyses, (v) how to interpret the results, visualize protein structures and make graphs. …”
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Effects of induced electric field and high-pressure microjet sterilization on the physicochemical properties of milk by Huiyu Xiang, Weibing Tao, Yilong Li, Weiwei Mu, Yiting Cheng, Wei Shen, Chenhao Wang, Lijun Guan, Kunlun Wang, Xiaomeng Sun, Chun Li

“…Conversely, the low-temperature sterilization methods had less effect on the protein structure. In conclusion, IEF and HPM have the similar sterilization effects to that of thermal sterilization methods, but have less effects on heat sensitive proteins, which has reference significance for the updating of sterilization technology in food field.…”
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A survey of the Sli gene in wild and cultivated potato by Mercedes Ames, Andy Hamernik, William Behling, David S. Douches, Dennis A. Halterman, Paul C. Bethke

“…In silico analysis of Sli protein structure did not support the hypothesis that amino acid changes from wild‐type (no insertion) to insertion‐type account for changes in protein function. …”
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AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic β-solenoid structures for repeat proteins by Olivia S. Pratt, Luc G. Elliott, Margaux Haon, Shahram Mesdaghi, Rebecca M. Price, Adam J. Simpkin, Daniel J. Rigden

“…AlphaFold 2 (AF2) has revolutionised protein structure prediction but, like any new tool, its performance on specific classes of targets, especially those potentially under-represented in its training data, merits attention. …”
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Molecular Detection and Genetic Characterization of Avian Leukosis Virus From Field Outbreaks in Bangladesh by Md. Golzar Hossain, Riman Pathan, SM Nazmul Hasan, Anandha Mozumder, Moslema Jahan Mou, Marjana Akter, Chandan Sikder, Riyan Al Islam Reshad, Roni Mia, Sukumar Saha, Tofazzal Islam, Sharmin Akter

“…Mutational analysis indicated several mutations throughout the envelope glycoprotein of the identified strains. Protein structure analysis showed minor changes in the hydrophobic region of the envelope protein of the identified strains. …”
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Prospective de novo drug design with deep interactome learning by Kenneth Atz, Leandro Cotos, Clemens Isert, Maria Håkansson, Dorota Focht, Mattis Hilleke, David F. Nippa, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Valentina Romeo, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider

“…In order to proactively evaluate the deep interactome learning framework for protein structure-based drug design, potential new ligands targeting the binding site of the human peroxisome proliferator-activated receptor (PPAR) subtype gamma are generated. …”
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