Enhancing Akt Imaging through Targeted Reporter Expression by Limin Zhang, Mahaveer S. Bhojani, Brian D. Ross, Alnawaz Rehemtulla

“…The use of molecular imaging technologies has contributed significantly to drug discovery research with an emphasis on drug efficacy, the mechanism of action, and target validation studies. …”
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Improving the Activity and Selectivity of a Scorpion-Derived Peptide, A3a, against Acinetobacter baumannii through Rational Design by Dalton S. Möller, Mandelie van der Walt, Carel Oosthuizen, Miruna Serian, June C. Serem, Christian D. Lorenz, A. James Mason, Megan J. Bester, Anabella R. M. Gaspar

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Role of Macrophages in the Pathogenesis of Atopic Dermatitis by Sadaf Kasraie, Thomas Werfel

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Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

“…Through the integration of experimental and computational tools, structure-based prediction paves the way for comprehensive proteomic network analysis, holding promise for advancements in drug discovery, biomarker identification, and personalized medicine. …”
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Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods by Meisheng Xiao, Qianhui Zheng, Paul Popa, Xinlei Mi, Jianhua Hu, Fei Zou, Baiming Zou

“…The insights derived from our study offer useful guidance on selecting the most suitable drug molecular representations for constructing efficient predictive models for DRPs, aiding for drug repurposing, personalized medicine, and new drug discovery.…”
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Unleashing the Power of OpenAI in Shaping the Future of Cancer Research by Ramyar M. Abdullah, Hawro D. I. Masseh, Abbas Salihi, Bawar Mohammed Faraj

“…This review article highlights the potential of OpenAI to shape the future of cancer research, including the identification of new therapeutic targets, predictive modeling for cancer progression and response to therapy, the development of personalized treatment plans, and advancements in drug discovery and development. The article also discusses the challenges of implementing OpenAI in cancer research and incorporating AI into the research process. …”
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Crystal structure and Hirshfeld surface analysis of the chalcone derivative (2E)-3-[4-(diphenylamino)phenyl]-1-[4-(prop-1-yn-2-yloxy)phenyl]prop-2-en-1-one by Sundarasamy Madhan, M. NizamMohideen, Vijayan Viswanathan, Devadasan Velmurugan

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Development of a novel encystment medium: Enhancing diagnostic potential of Acanthamoeba spp. by Julalak Chuprom, Suthinee Sangkanu, Watcharapong Mitsuwan, Rachasak Boonhok, Alok K. Paul, Sonia M. Rodrigues Oliveira, Maria L. Pereira, Tajudeen O. Jimoh, Mohammed Rahmatullah, Polrat Wilairatana, Christophe Wiart, Ajoy K. Verma, Veeranoot Nissapatorn

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Acute high-intensity interval exercise is superior to moderate-intensity continuous exercise in enhancing endothelial function and its associated biomarkers in sedentary young indi... by Ziqing Liu, Jinglin Huang, Min Hu, Xuyan Cui, Lu Leng, Kangle Wang, Jiarui Wu, Shan He, Weiji Deng, Peilun Li, Yilin Chen, Dongdong Gao, Haijie Yu, Junhao Huang

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Attention-based deep learning for accurate cell image analysis by Xiangrui Gao, Fan Zhang, Xueyu Guo, Mengcheng Yao, Xiaoxiao Wang, Dong Chen, Genwei Zhang, Xiaodong Wang, Lipeng Lai

“…Abstract High-content analysis (HCA) holds enormous potential for drug discovery and research, but widely used methods can be cumbersome and yield inaccurate results. …”
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Natural Products for Cancer Therapy: A Review of Their Mechanism of Actions and Toxicity in the Past Decade by Yasir Osman Ali Abdalla, Bavani Subramaniam, Shaik Nyamathulla, Noorasyikin Shamsuddin, Norhafiza M. Arshad, Kein Seong Mun, Khalijah Awang, Noor Hasima Nagoor

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A critical review on phytochemical profile and health promoting effects of mung bean (Vigna radiata) by Kumar Ganesan, Baojun Xu

“…The various curative potential of mung bean provides successive preclinical outcomes in the field of drug discovery and this review strongly recommends that mung bean is an excellent nutritive legume, which modulates or prevents chronic degenerative diseases. …”
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Entire Irregularity Indices: A Comparative Analysis and Applications by Anwar Saleh, Samirah Alsulami, Maryam Alsulami

“…The entire irregularity indices have potential applications in drug discovery, materials science, and other areas where molecular properties are crucial.…”
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PatCID: an open-access dataset of chemical structures in patent documents by Lucas Morin, Valéry Weber, Gerhard Ingmar Meijer, Fisher Yu, Peter W. J. Staar

“…Abstract The automatic analysis of patent publications has potential to accelerate research across various domains, including drug discovery and material science. Within patent documents, crucial information often resides in visual depictions of molecule structures. …”
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Sarcopenia and Age-Related Endocrine Function by Kunihiro Sakuma, Akihiko Yamaguchi

“…Since sarcopenia is largely attributed to various molecular mediators affecting fiber size, mitochondrial homeostasis, and apoptosis, numerous targets exist for drug discovery. In this paper, we summarize the current understanding of the endocrine contribution to sarcopenia and provide an update on hormonal intervention to try to improve endocrine defects. …”
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Inhaled Therapy in Respiratory Disease: The Complex Interplay of Pulmonary Kinetic Processes by Jens Markus Borghardt, Charlotte Kloft, Ashish Sharma

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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. …”
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ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

“…Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. …”
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Molecular Generation and Optimization of Molecular Properties Using a Transformer Model by Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan

“…Generating novel molecules to satisfy specific properties is a challenging task in modern drug discovery, which requires the optimization of a specific objective based on satisfying chemical rules. …”
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On QSPR analysis of pulmonary cancer drugs using python-driven topological modeling by Huiling Qin, Mazhar Hussain, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Zahid Hussain, Mohamed Abubakar Fiidow

“…This work marked the transformation in accelerating the math involved in drug discovery to reduce such research costs.…”
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