Modular access to saturated bioisosteres of anilines via photoelectrochemical decarboxylative C(sp3)–N coupling by Kang-Ning Yuan, Hongjun Zhuang, Jie Wei, Yu Shen, Hong-Qing Yao, Ming-Hong Li, Lin-Lin Xu, Ming Shang

“…Abstract In drug development, the substitution of benzene rings in aniline-based drug candidates with saturated bridged bicyclic ring systems often enhances pharmacokinetic properties while preserving biological activity. …”
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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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Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images by Muhammad Asad Arshed, Muhammad Ibrahim, Shahzad Mumtaz, Tenvir Ali, Gyu Sang Choi

“…The collected results indicate a significant advancement in predicting drug side effects and offer a promising avenue for streamlining the drug development process.…”
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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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Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach by Kourosh Hayatigolkhatmi, Chiara Soriani, Emanuel Soda, Elena Ceccacci, Oualid El Menna, Sebastiano Peri, Ivan Negrelli, Giacomo Bertolini, Gian Martino Franchi, Roberta Carbone, Saverio Minucci, Simona Rodighiero

“…This report presents a valuable tool for advancing cancer research and drug development by enabling comprehensive, automated cell cycle analysis in both adherent and non-adherent cells.…”
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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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CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction by Xianfang Tang, Yawen Hou, Yajie Meng, Zhaojing Wang, Changcheng Lu, Juan Lv, Xinrong Hu, Junlin Xu, Jialiang Yang

“…Abstract The process of new drug development is complex, whereas drug-disease association (DDA) prediction aims to identify new therapeutic uses for existing medications. …”
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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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Network pharmacology: a crucial approach in traditional Chinese medicine research by Yiyan Zhai, Liu Liu, Fanqin Zhang, Xiaodong Chen, Haojia Wang, Jiying Zhou, Keyan Chai, Jiangying Liu, Huiling Lei, Peiying Lu, Meiling Guo, Jincheng Guo, Jiarui Wu

“…The application of network pharmacology in TCM is widespread, covering areas such as identifying the material basis of TCM efficacy, unraveling mechanisms of action, and evaluating toxicity, safety, and novel drug development. However, challenges remain, such as the lack of standardized data collection across databases and insufficient consideration of processed herbs in research. …”
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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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