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- Volume 31, Issue 26, 2024
Current Medicinal Chemistry - Volume 31, Issue 26, 2024
Volume 31, Issue 26, 2024
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Current Computational Methods for Protein-peptide Complex Structure Prediction
Authors: Chao Yang, Xianjin Xu and Changcheng XiangPeptide-mediated protein-protein interactions (PPIs) play an important role in various biological processes. The development of peptide-based drugs to modulate PPIs has attracted increasing attention due to the advantages of high specificity and low toxicity. In the development of peptide-based drugs, one of the most important steps is to determine the interaction details between the peptide and the target protein. In addit Read More
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Current Development of Data Resources and Bioinformatics Tools for Anticoronavirus Peptide
More LessBackground: Since December 2019, the emergence of severe acute respiratory syndrome coronavirus 2, which gave rise to coronavirus disease 2019 (COVID-19), has considerably impacted global health. The identification of effective anticoronavirus peptides (ACVPs) and the establishment of robust data storage methods are critical in the fight against COVID-19. Traditional wet-lab peptide discovery approaches are timeconsu Read More
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In Silico Immunogenicity Assessment of Therapeutic Peptides
Authors: Wenzhen Li, Jinyi Wei, Qianhu Jiang, Yuwei Zhou, Xingru Yan, Changcheng Xiang and Jian HuangThe application of therapeutic peptides in clinical practice has significantly progressed in the past decades. However, immunogenicity remains an inevitable and crucial issue in the development of therapeutic peptides. The prediction of antigenic peptides presented by MHC class II is a critical approach to evaluating the immunogenicity of therapeutic peptides. With the continuous upgrade of algorithms and databases in recent Read More
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Recent Advances in Protein Folding Pathway Prediction through Computational Methods
Authors: Kailong Zhao, Fang Liang, Yuhao Xia, Minghua Hou and Guijun ZhangThe protein folding mechanisms are crucial to understanding the fundamental processes of life and solving many biological and medical problems. By studying the folding process, we can reveal how proteins achieve their biological functions through specific structures, providing insights into the treatment and prevention of diseases. With the advancement of AI technology in the field of protein structure prediction, computational Read More
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A Structure-based Data Set of Protein-peptide Affinities and its Nonredundant Benchmark: Potential Applications in Computational Peptidology
Authors: Shaozhou Wang, Haiyang Ye, Shuyong Shang, Zilong Li, Yue Peng and Peng ZhouBackground: Peptides play crucial roles in diverse cellular functions and participate in many biological processes by interacting with a variety of proteins, which have also been exploited as a promising class of therapeutic agents to target druggable proteins over the past decades. Understanding the intrinsic association between the structure and affinity of protein-peptide interactions (PpIs) should be considerably v Read More
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Natural Phenolic Compounds with Antithrombotic and Antiplatelet Effects: A Drug-likeness Approach
Background: Thrombosis is one of the major causes of morbidity and mortality in a wide range of vessel diseases. Several studies have been conducted to identify antithrombotic agents from medicinal plants, and phenolic compounds (PCs) have been shown to effectively inhibit plasma coagulation and platelet aggregation. Objectives: This study aimed to conduct a survey of the natural PCs with proven antithrombotic an Read More
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Bile Acid-conjugate as a Promising Anticancer Agent: Recent Progress
Authors: Neha V. Rathod and Satyendra MishraBile acids have outstanding chemistry due to their amphiphilic nature and have received a lot of interest in the last few decades in the fields of biomedicine, pharmacology, and supramolecular applications. Bile acids are highly sought after by scientists looking for diverse and effective biological activity due to their chirality, rigidity, and hydroxyl group. The hydroxyl group makes it simple to alter the structure in a way th Read More
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Application of Quercetin and its Novel Formulations in the Treatment of Malignancies of Central Nervous System: An Updated Review of Current Evidence based on Molecular Mechanisms
Quercetin, a naturally occurring polyphenolic compound found in abundance in vegetables and fruits, has emerged as a compelling subject of study in cancer treatment. This comprehensive review delves into the significance and originality of quercetin's multifaceted mechanisms of action, with a particular focus on its application in various brain tumors such as glioblastoma, glioma, neuroblastoma, astrocytoma, and medulloblas Read More
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Severity of COVID-19 in Pregnant Women: A Review on the Potential Role of Regulatory T Cells
As a physiological condition, pregnancy may cause temporary alterations in the hematological, cardiopulmonary, and immune responses, affecting the maternal susceptibility to viral infections. Pregnant women are vulnerable to infection with the influenza A virus, hepatitis E virus, MERS CoV, and SARS CoV. The agent of Coronavirus disease (COVID-19) is the SARS coronavirus (SARS CoV-2), which affects the cells upon binding Read More
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Prediction Model for Therapeutic Responses in Ovarian Cancer Patients using Paclitaxel-resistant Immune-related lncRNAs
Authors: Xin Li, Huiqiang Liu, Fanchen Wang, Jia Yuan, Wencai Guan and Guoxiong XuBackground: Ovarian cancer (OC) is the deadliest malignant tumor in women with a poor prognosis due to drug resistance and lack of prediction tools for therapeutic responses to anti- cancer drugs. Objective: The objective of this study was to launch a prediction model for therapeutic responses in OC patients. Methods: The RNA-seq technique was used to identify differentially expressed paclitaxel (PTX)- resistant lncRN Read More
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Volumes & issues
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Volume 32 (2025)
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Volume 31 (2024)
- Issue 42
- Issue 41
- Issue 40
- Issue 39
- Issue 38
- Issue 37
- Issue 36
- Issue 35
- Issue 34
- Issue 33
- Issue 32
- Issue 31
- Issue 30
- Issue 29
- Issue 28
- Issue 27
- Issue 26
- Issue 25
- Issue 24
- Issue 23
- Issue 22
- Issue 21
- Issue 20
- Issue 19
- Issue 18
- Issue 17
- Issue 15
- Issue 14
- Issue 13
- Issue 12
- Issue 11
- Issue 10
- Issue 9
- Issue 8
- Issue 7
- Issue 5
- Issue 4
- Issue 3
- Issue 2
- Issue 1
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Volume 30 (2023)
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Volume 29 (2022)
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Volume 28 (2021)
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Volume 27 (2020)
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Volume 26 (2019)
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Volume 25 (2018)
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Volume 24 (2017)
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Volume 23 (2016)
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Volume 22 (2015)
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Volume 21 (2014)
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Volume 20 (2013)
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Volume 19 (2012)
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Volume 18 (2011)
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Volume 17 (2010)
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Volume 16 (2009)
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Volume 15 (2008)
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Volume 14 (2007)
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Volume 13 (2006)
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Volume 12 (2005)
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Volume 11 (2004)
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Volume 10 (2003)
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Volume 9 (2002)
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Volume 8 (2001)
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Volume 7 (2000)
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