Rapid Improvement in Neck Disability, Mobility, and Sleep Quality with Chronic Neck Pain Treated by Fu’s Subcutaneous Needling: A Randomized Control Study by Ching-Hsuan Huang, Lung-Hung Tsai, Mao-Feng Sun, Zhonghua Fu, Jian Sun, Li-Wei Chou

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Immunoglobulin Gamma-Like Therapeutic Bispecific Antibody Formats for Tumor Therapy by Shixue Chen, Lingling Li, Fan Zhang, Yu Wang, Yi Hu, Lei Zhao

“…Bispecific antibodies (BsAbs) are a sort of dual functional proteins with specific binding to two distinct targets, which have become a focus of interest in antibody engineering and drug development research and have a promising future for wide applications in cancer immunotherapy and autoimmune disease. …”
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Structural basis of Spliced Leader RNA recognition by the Trypanosoma brucei cap-binding complex by Harald Bernhard, Hana Petržílková, Barbora Popelářová, Kamil Ziemkiewicz, Karolina Bartosik, Marcin Warmiński, Laura Tengo, Henri Gröger, Luciano G. Dolce, Cameron D. Mackereth, Ronald Micura, Jacek Jemielity, Eva Kowalinski

“…Moreover, the observed structural similarities and differences between TbCBC and the mammalian cap-binding complex will be crucial for considering the potential of TbCBC as a target for anti-trypanosomatid drug development.…”
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Deciphering the potential of plant metabolites as insecticides against melon fly (Zeugodacus cucurbitae): Exposing control alternatives to assure food security by Zinat Jahan Chowdhury, Anik Banik, Tanjin Barketullah Robin, Mohammed Rashed Chowdhury

“…However, as this study was conducted solely through computational methods, we recommend subsequent in vitro and field trials for the future drug development.…”
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Drug Screening of Flavonoids as Potential VEGF Inhibitors Through Computational Docking and Cell Models by Shengying Lin, Roy Wai-Lun Tang, Yutong Ye, Chenxi Xia, Jiahui Wu, Ran Duan, Ka-Wing Leung, Tina Ting-Xia Dong, Karl Wah-Keung Tsim

“…The investigation evidently suggested that the three flavonoids above could be considered potential anti-VEGF agents for the following drug development against VEGF-mediated diseases.…”
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Immunomodulation effects of collagen hydrogel encapsulating extracellular vesicles derived from calcium silicate stimulated-adipose mesenchymal stem cells for diabetic healing by Yen-Hong Lin, Yeh Chen, En-Wei Liu, Mei-Chih Chen, Min-Hua Yu, Cheng-Yu Chen, Chia-Che Ho, Tai-Yi Hsu-Jiang, Jian-Jr Lee, Der-Yang Cho, Ming-You Shie

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An open-label study to determine the maximum tolerated dose of oral ESK-440 administered as a single agent in patients with advanced or metastatic solid tumors by Russell J. Schilder, Drew Rasco, Manish R. Sharma

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KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning by Huimin Luo, Huimin Luo, Hui Yang, Hui Yang, Ge Zhang, Ge Zhang, Jianlin Wang, Jianlin Wang, Junwei Luo, Chaokun Yan, Chaokun Yan, Chaokun Yan

“…Computational drug repositioning, serving as an effective alternative to traditional drug discovery plays a key role in optimizing drug development. This approach can accelerate the development of new therapeutic options while reducing costs and mitigating risks. …”
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Reduction of monoclonal antibody viscosity using interpretable machine learning by Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, Lina Wu, Jie Huang, Marissa Mock, Patrick Underhill, Emma Pelegri-O’Day, Erick Maglalang, Dwight Winters, Peter M. Tessier

“…We expect that this approach can be readily integrated into the drug development process to reduce the need for experimental viscosity screening and improve the identification of antibody candidates with drug-like properties.…”
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Chemometric Methods—A Valuable Tool for Investigating the Interactions Between Antifungal Drugs (Including Antifungal Antibiotics) and Food by Agnieszka Wiesner-Kiełczewska, Paweł Zagrodzki, Alicja Gawalska, Paweł Paśko

“…Incorporating chemometric techniques into the early drug development stages could facilitate the design of antifungal antibiotics and other antifungal agents with optimized absorption in the presence of dietary components.…”
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Efficacy and safety of CAR-T cell therapy in B-ALL patients previously treated with blinatumomab by Yurou Chu, Biqi Zhou, Rui Gao, Miao Miao, Huiying Qiu, Xiaowen Tang, Ying Wang, Suning Chen, Liqing Kang, Depei Wu, Yang Xu

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From guideline to practice: three years of ICH S11 insights and recommendations by Diana Tavares, Hsiao-Tzu Chien, Hsiao-Tzu Chien, Maria Elzbieta Sheean, Peter Theunissen, Peter Theunissen, Peter van Meer, Peter van Meer, Peter van Meer, Karen Van Malderen

“…The WoE approach in ICH S11 ensures that relevant safety information is generated to support paediatric drug development while balancing the principles of non-clinical replacement, reduction and refinement (the 3Rs).…”
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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

“…Thus, screening for hERG channel blockers is a crucial step in the drug development process. Many in silico models have been developed to predict hERG blockers, which can efficiently save time and resources. …”
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Proteome-Wide Identification and Comparison of Drug Pockets for Discovering New Drug Indications and Side Effects by Renxin Zhang, Zhiyuan Chen, Shuhan Li, Haohao Lv, Jinjun Li, Naixue Yang, Shaoxing Dai

“…Drug development faces significant financial and time challenges, highlighting the need for more efficient strategies. …”
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Hypoglycemic natural products with in vivo activities and their mechanisms: a review by Wenyi Ma, Longgao Xiao, Haiyang Liu, Xiaojiang Hao

“…And some of them show effects on diabetic complications, which is a significant idea for drug development. This review aims to summarize natural products with hypoglycemic effects and their details, such as potential mechanisms, biological data, and particularly their advantages in treating diabetes. …”
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Structural and free energy landscape analysis for the discovery of antiviral compounds targeting the cap-binding domain of influenza polymerase PB2 by Amr S. Abouzied, Saad Alqarni, Kareem M. Younes, Sanad M. Alanazi, Dana M. Alrsheed, Rawabi K. Alhathal, Bader Huwaimel, Akram M. Elkashlan

“…The polymerase basic protein 2 (PB2) of the influenza virus plays a crucial role in the viral replication process, making the CAP-binding domain of PB2 an attractive target for antiviral drug development. This study aimed to identify and evaluate potential inhibitors of the influenza polymerase PB2 CAP-binding domain using computational drug discovery methods. …”
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Fragment optimized chalcone derivatives targeting OmpA protein as a therapeutic approach against multidrug resistant Acinetobacter baumannii by Muhammad Naveed, Amina Abid, Tariq Aziz, Ayesha Saleem, Arooj Arshad, Khushbakht Javed, Hafiz Muzzammel Rehman, Ghulam Nabi, Mitub Al-harbi, Abdullah F. Alasmari

“…This underscores the importance of structure optimization in drug development. Overall, chalcone derivatives show promise as antibacterial agents against A. baumannii, with computational analyses aiding in compound selection and optimization. …”
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Therapeutic Potential of <i>Lappula patula</i> Extracts on Germline Development and DNA Damage Responses in <i>C. elegans</i> by Qinghao Meng, Anna Hu, Weiyu Xiao, Robert P. Borris, Hyun-Min Kim

“…The observed DNA damage and apoptosis in <i>C. elegans</i> emphasize the extract’s promising role in anti-cancer drug development. Further studies are needed to explore the therapeutic potential of these compounds in clinical settings.…”
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TAD-SIE: sample size estimation for clinical randomized controlled trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator by Sayeri Lala, Niraj K. Jha

“…Methods To remove this obstacle from the drug development cycle, we present a new algorithm called Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator (TAD-SIE) that powers a parallel-group trial, a standard RCT design, by leveraging a state-of-the-art hypothesis testing strategy and a novel trend-adaptive design (TAD). …”
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Current Status and Future Directions of Artificial Intelligence in Post-Traumatic Stress Disorder: A Literature Measurement Analysis by Ruoyu Wan, Ruohong Wan, Qing Xie, Anshu Hu, Wei Xie, Junjie Chen, Yuhan Liu

“…This study aims to explore the current state of research and the applicability of artificial intelligence (AI) at various stages of post-traumatic stress disorder (PTSD), including prevention, diagnosis, treatment, patient self-management, and drug development. We conducted a bibliometric analysis using software tools such as Bibliometrix (version 4.1), VOSviewer (version 1.6.19), and CiteSpace (version 6.3.R1) on the relevant literature from the Web of Science Core Collection (WoSCC). …”
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