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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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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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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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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Stem Cells as In Vitro Model of Parkinson's Disease by Patricia L. Martínez-Morales, Isabel Liste

“…The ability to generate induced pluripotent stem cells (iPSCs) from PD patients and a refined capacity to differentiate these iPSCs into DA neurons, the relevant disease cell type, promises a new paradigm in drug development that positions human disease pathophysiology at the core of preclinical drug discovery. Disease models derived from iPSC that manifest cellular disease phenotypes have been established for several monogenic diseases, but iPSC can likewise be used for phenotype-based drug screens in complex diseases for which the underlying genetic mechanism is unknown. …”
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Vibrio parahaemolyticus: Exploring its Incidence in Malaysia and the Potential of Streptomyces sp. as an Anti-Vibrio Agent by Ke-Yan Loo, Loh Teng-Hern Tan, Jodi Woan-Fei Law, Priyia Pusparajah, Sunny Hei Wong, Kok-Gan Chan, Learn-Han Lee, Vengadesh Letchumanan

“…., a class of filamentous, Gram-positive bacteria that produce a variety of bioactive compounds during their life cycle, which can be useful in drug discovery. The bioactive compounds produced by Streptomyces sp. have been proven to have microbiota-modulating and stimulatory effects on the host, enhancing immunity and providing protective effects against V. parahaemolyticus infections. …”
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Evaluation of anti-Bothrops asper venom activity of ethanolic extract of Brownea rosademonte leaves by Salazar Marcos, Chérigo Lilia, Acosta Hildaura, Otero Rafael, Martínez-Luis Sergio

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Polyphenol-Protein Complexes and Their Consequences for the Redox Activity, Structure and Function of Honey. A Current View and New Hypothesis – a Review by Brudzynski Katrina, Maldonado-Alvarez Liset

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Complete genome of mangrove-derived anti-MRSA streptomycete, Streptomyces pluripotens MUSC 135T by Hooi-Leng Ser, Kok-Gan Chan, Wen-Si Tan, Wai-Fong Yin, Bey-Hing Goh, Nurul-Syakima Ab Mutalib, Learn-Han Lee

“…The availability of S. pluripotens MUSC 135T genome sequence has opened new window for drug discovery, particularly for effective drugs against harmful pathogens such as MRSA and certainly deserves further detailed study. …”
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In Vitro and In Silico Analysis of Bergenia ciliata and Mimosa pudica for Inhibition of α-Amylase by Mahesh Bohara, Sajani Ghaju, Kabita Sharma, Surya Kant Kalauni, Karan Khadayat

“…The discovery of antidiabetic natural products is a flourishing field of opportunity in the sector of drug discovery. Various medicinal plants with diverse chemical constituents have been extensively studied for drug development. …”
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Comprehensive evaluation of pure and hybrid collaborative filtering in drug repurposing by Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer

“…Drug repurposing allows drug discovery by reusing already approved compounds. …”
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AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides by Huajian Zhao, Gengshen Song

“…AVP-GPT2 has the potential to significantly impact antiviral drug discovery by accelerating the identification of novel therapeutic agents. …”
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Role of Mitochondria-Associated Endoplasmic Reticulum Membrane in Inflammation-Mediated Metabolic Diseases by Themis Thoudam, Jae-Han Jeon, Chae-Myeong Ha, In-Kyu Lee

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