Application of Feature Definition and Quantification in Biological Sequence Analysis
Curr Genomics. 2023 Oct 27;24(2):64-65. doi: 10.2174/1389202924666230816150732.ABSTRACTBiological sequence analysis is the most fundamental work in bioinformatics. Many research methods have been developed in the development of biological sequence analysis. These methods include sequence alignment-based methods and alignment-free methods. In addition, there are also some sequence analysis methods based on the feature definition and quantification of the sequence itself. This editorial introduces the methods of biological sequence analysis and explores the significance of defining features and quantitative research of biolo...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Weiyang Chen Weiwei Li Source Type: research

Insights into Metabolic Engineering of Bioactive Molecules in < em > Tetrastigma hemsleyanum < /em > Diels & amp; Gilg: A Traditional Medicinal Herb
Curr Genomics. 2023 Oct 27;24(2):72-83. doi: 10.2174/0113892029251472230921053135.ABSTRACTPlants are a vital source of bioactive molecules for various drug development processes. Tetrastigma hemsleyanum is one of the endangered medicinal plant species well known to the world due to its wide range of therapeutic effects. Many bioactive molecules have been identified from this plant, including many classes of secondary metabolites such as flavonoids, phenols, terpenoids, steroids, alkaloids, etc. Due to its slow growth, it usually takes 3-5 years to meet commercial medicinal materials for this plant. Also, T. hemsleyanum con...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: T P Ajeesh Krishna T Maharajan T P Adarsh Krishna S Antony Ceasar Source Type: research

Circular RNA Translation in Cardiovascular Diseases
Curr Genomics. 2023 Oct 27;24(2):66-71. doi: 10.2174/1389202924666230911121358.ABSTRACTCircular RNAs (circRNAs) are a class of endogenous functional RNA generated by back-splicing. Recently, circRNAs have been found to have certain coding potential. Proteins/peptides translated from circRNAs play essential roles in various diseases. Here, we briefly summarize the basic knowledge and technologies that are usually applied to study circRNA translation. Then, we focus on the research progress of circRNA translation in cardiovascular diseases and discuss the perspective and future direction of translatable circRNA study in card...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Lijun Wang Xinxin Cui Fei Jiang Yuxue Hu Wensi Wan Guoping Li Yanjuan Lin Junjie Xiao Source Type: research

Mitochondrial Lipid Metabolism Genes as Diagnostic and Prognostic Indicators in Hepatocellular Carcinoma
CONCLUSION: MTLT-related genes may serve as diagnostic and prognostic biomarkers for HCC as well as novel therapeutic targets, which may be beneficial for facilitating further understanding the molecular pathogenesis and providing potential therapeutic strategies for HCC.PMID:37994323 | PMC:PMC10662382 | DOI:10.2174/1389202924666230914110649 (Source: Current Genomics)
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Xuejing Li Ying Tan Bihan Liu Houtian Guo Yongjian Zhou Jianhui Yuan Feng Wang Source Type: research

Deciphering Target Protein Cascade in < em > Salmonella typhi < /em > Biofilm using Genomic Data Mining, and Protein-protein Interaction
CONCLUSION: All identified targets in this study possess hydrophobic properties, and their cellular localization offered proof of a potent therapeutic target. Overall results of this study, drug target shortage in S. typhi is also spotlighted, and we believe that obtained result could be useful for the design and development of some potent anti-salmonella agents for typhoid fever in the future.PMID:37994324 | PMC:PMC10662377 | DOI:10.2174/1389202924666230815144126 (Source: Current Genomics)
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Aditya Upadhyay Dharm Pal Awanish Kumar Source Type: research

Identification of Potential Genes and Critical Pathways in Postoperative Recurrence of Crohn's Disease by Machine Learning And WGCNA Network Analysis
CONCLUSION: These key genes serve as the novel diagnostic biomarker for the postoperative recurrence of Crohn's disease. Thus, among other treatment options present until now, these biomarkers would provide success in both diagnosis and prognosis, aiming for a long-lasting remission to prevent further complications in CD.PMID:37994325 | PMC:PMC10662376 | DOI:10.2174/1389202924666230601122334 (Source: Current Genomics)
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Aruna Rajalingam Kanagaraj Sekar Anjali Ganjiwale Source Type: research

Application of Feature Definition and Quantification in Biological Sequence Analysis
Curr Genomics. 2023 Oct 27;24(2):64-65. doi: 10.2174/1389202924666230816150732.ABSTRACTBiological sequence analysis is the most fundamental work in bioinformatics. Many research methods have been developed in the development of biological sequence analysis. These methods include sequence alignment-based methods and alignment-free methods. In addition, there are also some sequence analysis methods based on the feature definition and quantification of the sequence itself. This editorial introduces the methods of biological sequence analysis and explores the significance of defining features and quantitative research of biolo...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Weiyang Chen Weiwei Li Source Type: research

Insights into Metabolic Engineering of Bioactive Molecules in < em > Tetrastigma hemsleyanum < /em > Diels & amp; Gilg: A Traditional Medicinal Herb
Curr Genomics. 2023 Oct 27;24(2):72-83. doi: 10.2174/0113892029251472230921053135.ABSTRACTPlants are a vital source of bioactive molecules for various drug development processes. Tetrastigma hemsleyanum is one of the endangered medicinal plant species well known to the world due to its wide range of therapeutic effects. Many bioactive molecules have been identified from this plant, including many classes of secondary metabolites such as flavonoids, phenols, terpenoids, steroids, alkaloids, etc. Due to its slow growth, it usually takes 3-5 years to meet commercial medicinal materials for this plant. Also, T. hemsleyanum con...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: T P Ajeesh Krishna T Maharajan T P Adarsh Krishna S Antony Ceasar Source Type: research

Circular RNA Translation in Cardiovascular Diseases
Curr Genomics. 2023 Oct 27;24(2):66-71. doi: 10.2174/1389202924666230911121358.ABSTRACTCircular RNAs (circRNAs) are a class of endogenous functional RNA generated by back-splicing. Recently, circRNAs have been found to have certain coding potential. Proteins/peptides translated from circRNAs play essential roles in various diseases. Here, we briefly summarize the basic knowledge and technologies that are usually applied to study circRNA translation. Then, we focus on the research progress of circRNA translation in cardiovascular diseases and discuss the perspective and future direction of translatable circRNA study in card...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Lijun Wang Xinxin Cui Fei Jiang Yuxue Hu Wensi Wan Guoping Li Yanjuan Lin Junjie Xiao Source Type: research

Mitochondrial Lipid Metabolism Genes as Diagnostic and Prognostic Indicators in Hepatocellular Carcinoma
CONCLUSION: MTLT-related genes may serve as diagnostic and prognostic biomarkers for HCC as well as novel therapeutic targets, which may be beneficial for facilitating further understanding the molecular pathogenesis and providing potential therapeutic strategies for HCC.PMID:37994323 | PMC:PMC10662382 | DOI:10.2174/1389202924666230914110649 (Source: Current Genomics)
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Xuejing Li Ying Tan Bihan Liu Houtian Guo Yongjian Zhou Jianhui Yuan Feng Wang Source Type: research

Deciphering Target Protein Cascade in < em > Salmonella typhi < /em > Biofilm using Genomic Data Mining, and Protein-protein Interaction
CONCLUSION: All identified targets in this study possess hydrophobic properties, and their cellular localization offered proof of a potent therapeutic target. Overall results of this study, drug target shortage in S. typhi is also spotlighted, and we believe that obtained result could be useful for the design and development of some potent anti-salmonella agents for typhoid fever in the future.PMID:37994324 | PMC:PMC10662377 | DOI:10.2174/1389202924666230815144126 (Source: Current Genomics)
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Aditya Upadhyay Dharm Pal Awanish Kumar Source Type: research

Identification of Potential Genes and Critical Pathways in Postoperative Recurrence of Crohn's Disease by Machine Learning And WGCNA Network Analysis
CONCLUSION: These key genes serve as the novel diagnostic biomarker for the postoperative recurrence of Crohn's disease. Thus, among other treatment options present until now, these biomarkers would provide success in both diagnosis and prognosis, aiming for a long-lasting remission to prevent further complications in CD.PMID:37994325 | PMC:PMC10662376 | DOI:10.2174/1389202924666230601122334 (Source: Current Genomics)
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Aruna Rajalingam Kanagaraj Sekar Anjali Ganjiwale Source Type: research

Application of Feature Definition and Quantification in Biological Sequence Analysis
Curr Genomics. 2023 Oct 27;24(2):64-65. doi: 10.2174/1389202924666230816150732.ABSTRACTBiological sequence analysis is the most fundamental work in bioinformatics. Many research methods have been developed in the development of biological sequence analysis. These methods include sequence alignment-based methods and alignment-free methods. In addition, there are also some sequence analysis methods based on the feature definition and quantification of the sequence itself. This editorial introduces the methods of biological sequence analysis and explores the significance of defining features and quantitative research of biolo...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Weiyang Chen Weiwei Li Source Type: research

Insights into Metabolic Engineering of Bioactive Molecules in < em > Tetrastigma hemsleyanum < /em > Diels & amp; Gilg: A Traditional Medicinal Herb
Curr Genomics. 2023 Oct 27;24(2):72-83. doi: 10.2174/0113892029251472230921053135.ABSTRACTPlants are a vital source of bioactive molecules for various drug development processes. Tetrastigma hemsleyanum is one of the endangered medicinal plant species well known to the world due to its wide range of therapeutic effects. Many bioactive molecules have been identified from this plant, including many classes of secondary metabolites such as flavonoids, phenols, terpenoids, steroids, alkaloids, etc. Due to its slow growth, it usually takes 3-5 years to meet commercial medicinal materials for this plant. Also, T. hemsleyanum con...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: T P Ajeesh Krishna T Maharajan T P Adarsh Krishna S Antony Ceasar Source Type: research

Circular RNA Translation in Cardiovascular Diseases
Curr Genomics. 2023 Oct 27;24(2):66-71. doi: 10.2174/1389202924666230911121358.ABSTRACTCircular RNAs (circRNAs) are a class of endogenous functional RNA generated by back-splicing. Recently, circRNAs have been found to have certain coding potential. Proteins/peptides translated from circRNAs play essential roles in various diseases. Here, we briefly summarize the basic knowledge and technologies that are usually applied to study circRNA translation. Then, we focus on the research progress of circRNA translation in cardiovascular diseases and discuss the perspective and future direction of translatable circRNA study in card...
Source: Current Genomics - November 23, 2023 Category: Genetics & Stem Cells Authors: Lijun Wang Xinxin Cui Fei Jiang Yuxue Hu Wensi Wan Guoping Li Yanjuan Lin Junjie Xiao Source Type: research