Manaswini Ghosh, Pulkit Kr. Gupta, Shobhan Jena, Soumendra Rana
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引用次数: 0
Abstract
Methotrexate (MTX) is an antimetabolite drug that mimics folate and inhibits dihydrofolic acid reductase, resulting in the impairment of malignant growth in actively proliferating tissues. MTX is approved by the FDA for primarily treating non-Hodgkin lymphoma, lymphoblastic leukemia, and osteosarcoma. In addition, MTX is also prescribed as a preferred anti-rheumatic medication for the management of rheumatoid arthritis, including psoriasis, indicating that MTX has a multipronged mechanism of action. MTX is also known to exert anti-inflammatory effects, and interestingly, the role of C5a, a pro-inflammatory glycoprotein of the complement system, is well established in several chronic inflammatory diseases, including rheumatoid arthritis and psoriasis, through the recruitment of C5a receptors (C5aR1/C5aR2) expressed in both immune and non-immune cells. Notably, through drug repurposing studies, we have earlier shown that non-steroidal anti-inflammatory drugs (NSAIDS) can potentially neutralize the function of C5a. Though MTX binds to serum albumin and can affect the immune system, whether its interaction with C5a could be therapeutically beneficial due to the downregulation of both extracellular and intracellular signaling of C5a is not yet established in the literature. In the current study, we have hypothesized and provided preliminary evidence through computational studies that MTX can strongly bind to the hotspot regions on C5a involved in the interactions with its receptors, which is likely to alter the downstream signaling of C5a and contribute to the overall therapeutic efficacy of MTX.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.