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- Volume 25, Issue 15, 2024
Current Drug Targets - Volume 25, Issue 15, 2024
Volume 25, Issue 15, 2024
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Trends on Novel Targets and Nanotechnology-Based Drug Delivery System in the Treatment of Parkinson's disease: Recent Advancement in Drug Development
Authors: Manisha Majumdar and Hemant BadwaikParkinson's disease (PD) is a progressive neurodegenerative disorder that impacts a significant portion of the population. Despite extensive research, an effective cure for PD remains elusive, and conventional pharmacological treatments often face limitations in efficacy and management of symptoms. There has been a lot of discussion about using nanotechnology to increase the bioavailability of small- mole Read More
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Revolutionizing Skin Cancer Treatment: The Rise of PD-1/PDL-1 and CTLA-4 as Key Therapeutic Targets
Authors: Neha Sharma, Rupa Mazumder and Pallavi RaiSkin cancer is a significant health concern, affecting millions of individuals globally on an annual basis. According to data from the World Health Organization, it stands as the most prevalent form of cancer within the white population. Current treatments for skin cancer typically involve a combination of chemotherapy, radiation therapy, and surgery. However, these methods often come with drawbacks, such as side effect Read More
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Therapeutic Correlation of TLR-4 Mediated NF-κB Inflammatory Pathways in Ischemic Injuries
Authors: Veerta Sharma, Prateek Sharma and Thakur Gurjeet SinghIschemia-reperfusion (I/R) injury refers to the tissue damage that happens when blood flow returns to tissue after a period of ischemia. I/R injuries are implicated in a large array of pathological conditions, such as cerebral, myocardial, renal, intestinal, retinal and hepatic ischemia. The hallmark of these pathologies is excessive inflammation. Toll-like receptors (TLRs) are recognized as significant contributors to inflammation caus Read More
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Advances in Protein-Ligand Binding Affinity Prediction via Deep Learning: A Comprehensive Study of Datasets, Data Preprocessing Techniques, and Model Architectures
Authors: Gelany Aly Abdelkader and Jeong-Dong KimBackgroundDrug discovery is a complex and expensive procedure involving several timely and costly phases through which new potential pharmaceutical compounds must pass to get approved. One of these critical steps is the identification and optimization of lead compounds, which has been made more accessible by the introduction of computational methods, including deep learning (DL) techniques. Diverse DL mo Read More
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Volumes & issues
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Volume 26 (2025)
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Volume 25 (2024)
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Volume 24 (2023)
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Volume 23 (2022)
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Volume 22 (2021)
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Volume 21 (2020)
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Volume 20 (2019)
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Volume 19 (2018)
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Volume 18 (2017)
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Volume 17 (2016)
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Volume 16 (2015)
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Volume 15 (2014)
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Volume 14 (2013)
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Volume 13 (2012)
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Volume 12 (2011)
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Volume 11 (2010)
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Volume 10 (2009)
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Volume 9 (2008)
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Volume 8 (2007)
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Volume 7 (2006)
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Volume 6 (2005)
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Volume 5 (2004)
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Volume 4 (2003)
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Volume 3 (2002)
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Volume 2 (2001)
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Volume 1 (2000)
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