scholarly journals Severe acute respiratory syndrome coronavirus (SARS-CoV)-2 infection induces dysregulation of immunity: in silico gene expression analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 1143-1152
Author(s):  
Yen-Hung Wu ◽  
I-Jeng Yeh ◽  
Nam Nhut Phan ◽  
Meng-Chi Yen ◽  
Hsin-Liang Liu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Severe Acute Respiratory Syndrome ◽  
Expression Analysis ◽  
In Silico ◽  
Gene Expression Analysis

Molecular cloning, gene expression analysis, and in silico characterization of UDP‐N‐acetylglucosamine pyrophosphorylase from Bombyx mori

2019 ◽  
Vol 66 (5) ◽  
pp. 880-899
Author(s):  
Bhagath Kumar Palaka ◽  
Anbumani Velmurugan Ilavarasi ◽  
Tuleshwori Devi Sapam ◽  
Kasi Viswanath Kotapati ◽  
Venkata Satyanarayana Nallala ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bombyx Mori ◽  
Molecular Cloning ◽  
Expression Analysis ◽  
In Silico ◽  
Gene Expression Analysis ◽  
In Silico Characterization

scholarly journals In silico gene expression analysis reveals glycolysis and acetate anaplerosis in IDH1 wild-type glioma and lactate and glutamate anaplerosis in IDH1-mutated glioma

Oncotarget ◽  
2017 ◽  
Vol 8 (30) ◽  
pp. 49165-49177 ◽  
Author(s):  
Mohammed Khurshed ◽  
Remco J. Molenaar ◽  
Krissie Lenting ◽  
William P. Leenders ◽  
Cornelis J.F. van Noorden
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
In Silico ◽  
Gene Expression Analysis ◽  
Wild Type

scholarly journals Some aspects of metal ion transport and in silico gene expression analysis of potassium/sodium ion transporters, channels and exchangers in root nodules

2021 ◽  
Vol 66 (1) ◽  
Author(s):  
Natalia Trifonova ◽  
Maria Koroleva ◽  
Elena Fedorova
Keyword(s):  
Gene Expression ◽  
Ion Transport ◽  
Expression Analysis ◽  
In Silico ◽  
Metal Ion ◽  
Gene Expression Analysis ◽  
Root Nodule ◽  
Root Nodules ◽  
Sodium Ion ◽  
Metal Ion Transport

Rhizobia establish a symbiotic relationship with legumes, which results in the formation of root nodules, the ecological niche for intracellular rhizobia. The infected cell of a root nodule is a special integral unit of plant and nitrogen fixing rhizobia. Nodules tend to be very sensitive to ionic stresses, such as salt stress. High vulnerability toward ionic stresses might be due to defects in ion balance and transport in the infected tissue. The purpose of this minireview is to summarize the current data regarding metal ion transport in the root nodule, with particular emphasis on potassium/sodium ion transport. A bioinformatic approach and in silico gene expression analysis have been used to obtain some insight for K+/Na+ transportеr channels and exchangers in root nodule developmental zones.

scholarly journals IN SILICO DESIGN, SYNTHESIS AND EVALUATION OF IN VITRO GLUCOSE UPTAKE, GENE EXPRESSION, AND α-GLUCOSIDASE INHIBITORY ACTIVITY OF NOVEL 2-AMINOBENZIMIDAZOLE DERIVATIVES

2019 ◽  
pp. 107-114
Author(s):  
SREEJA S ◽  
ANTON SMITH A ◽  
MATHAN S
Keyword(s):  
Gene Expression ◽  
Glucose Uptake ◽  
Expression Analysis ◽  
Inhibitory Activity ◽  
In Silico ◽  
Gene Expression Analysis ◽  
Lethal Dose ◽  
Standard Drug ◽  
Lipinski’S Rule

Objective: The present study was aimed to design and evaluate the antidiabetic potential of novel 2-aminobenzimidazole derivatives by in silico method. Materials and Methods: Various in silico tools such as Chemsketch, Molinspiration, Prediction of activity spectra for substances, OpenBabel, Discovery Studio was used in the designing and evaluation of the biological activity. The retrieved hits were further filtered by absorption, distribution, metabolism, and excretion descriptors. The designed molecules having required physicochemical properties, drug-likeness, and obeying Lipinski’s rule of five were selected for the synthesis. The synthesized compounds were subjected to determination of yield, melting point and characterized by infrared, 1HNMR, 13CNMR, and mass spectroscopic methods. The selected derivatives were subjected to in vitro glucose uptake, 50% lethal dose (LD50) determination, gene expression analysis, and α-glucosidase inhibitory assay. Results: Totally, 32 novel analogs of 2-aminobenzimidazole were designed and 17 compounds were selected for docking analysis; and finally, five derivatives (3a, 3c, 3e, 3f, and 3h) were selected for synthesis. Among them, the compounds 3a and 3f were selected for in vitro glucose uptake analysis. Finally, the compound 3f was selected for LD50 determination, gene expression analysis, and α-glucosidase inhibitory assay. The selected derivative 3f showed a significant α-glucosidase inhibitory activity compared with the standard drug acarbose. Conclusion: These results are useful for further investigation in the future, and hopefully, these studies could discover a new specific leads in antidiabetic category as α-glucosidase inhibitor.

The presence and distribution of G protein-coupled receptor 35 (GPR35) in the human cornea – Evidences from in silico gene expression analysis and immunodetection

2019 ◽  
Vol 179 ◽  
pp. 188-192
Author(s):  
Anna Matysik-Woźniak ◽  
Artur Wnorowski ◽  
Waldemar A. Turski ◽  
Krzysztof Jóźwiak ◽  
Anselm Jünemann ◽  
...  
Keyword(s):  
Gene Expression ◽  
G Protein ◽  
Expression Analysis ◽  
In Silico ◽  
Gene Expression Analysis ◽  
Human Cornea ◽  
G Protein Coupled Receptor ◽  
G Protein Coupled

In silico gene expression analysis in Codonopsis lanceolata root

2010 ◽  
Vol 38 (5) ◽  
pp. 3541-3549 ◽  
Author(s):  
Subramaniyam Sathiyamoorthy ◽  
Jun-Gyo In ◽  
Ok Ran Lee ◽  
Bum-Soo Lee ◽  
Sri Renuka Devi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
In Silico ◽  
Gene Expression Analysis ◽  
Codonopsis Lanceolata

scholarly journals Pemanfaatan bioinformatika dalam bidang pertanian dan kesehatan (The utilization of bioinformatics in the field of agriculture and health)

2017 ◽  
Vol 85 (2) ◽  
Author(s):  
Arli Aditya PARIKESIT ◽  
Dito ANUROGO ◽  
Riza A PUTRANTO
Keyword(s):  
Gene Expression ◽  
Drug Design ◽  
Expression Analysis ◽  
In Silico ◽  
Computer Aided Design ◽  
Gene Expression Analysis ◽  
Genetic Maps ◽  
In Silico Drug Design ◽  
Computer Aided ◽  
Aided Design

Bioinformatics can be used to manage the data storage resulted from in silico molecular biology experiments. Off-network (offline) applications require large computing resources, in which researchers in the bioinformatics field of agriculture and health sectors do not necessarily possess. This review paper addressed examples of affordable and applicable in silico analytical cases in both mentioned sectors. Genome sequence analysis and in silico drug design using (1) a computational method, pharmacokinetic parameter prediction, (2) Computer Aided Design and Drafting (CADD) technology, (3) potential protein action prediction, (4) OMICs application in stem cell biology, and (5) lncRNAs based database computing internet sites is one of examples. In agriculture, bioinformatics-based research has been used in (1) the development of molecular markers; (2) the design of primer for differential gene expression analysis; (3) the development of genetic maps; and (4) gene expression analysis. Further application of bioinformatics also targets the design of applicative products for pest control and the protection of plant varieties in the farm. Through this example, novice researchers in the bioinformatics field of agriculture and health sectors can conduct sophisticated research using standard computer tools, internet networks, and sufficient knowledge about bioinformatics. On the other hand, multidisciplinary collaboration between these scientists can be carried out through social networking. The synergy can be directed to improve computing capabilities and data analysis via procurement of computing resources and use of public information clusters. [Key words: genome sequences, in silico drug design, online, bioinformatics, health, agriculture.] AbstrakBioinformatika dapat digunakan dalam manajemen informasi di bidang penyimpanan data in silico dari eksperimen biologi molekuler. Aplikasi luar jaringan (luring) memerlukan sumber daya komputasi yang besar, yang belum tentu dimiliki oleh para peneliti dalam bidang bioinformatika kesehatan dan pertanian. Kajian ilmiah ini membahas contoh kasus analisis in silico yang terjangkau dan aplikatif dalam bidang kesehatan dan pertanian. Contoh kasus tersebut adalah analisis sekuen genom dan desain obat in silico, menggunakan pendekatan metode komputasional, prediksi parameter farmakokinetik, teknologi Computer Aided Design and Drafting (CADD), prediksi potensial aksi protein, aplikasi OMICs pada biologi sel punca, hingga komputasi basis data lncRNAs berbasis situs internet. Pada bidang pertanian, penelitian berbasis bioinformatika telah digunakan dalam (1) pengembangan penanda molekuler; (2) desain primer untuk analisis ekspresi gen diferensial; (3) pengembangan peta genetik; dan (4) analisis ekspresi gen. Pemanfaatan bio-informatika dalam ilmu terapan dibidang pertanian juga menyasar desain produk aplikatif untuk pengendalian hama dan perlindungan varietas tanaman. Melalui contoh tersebut, peneliti pemula dibidang bioinformatika kesehatan dan pertanian dapat melakukan penelitian canggih hanya dengan alat komputer standar, jaringan internet, dan pengetahuan mencukupi tentang bioinformatika. Disisi lain, sinergi dan kolaborasi antar peneliti multi-displiner dapat dilakukan melalui penggunaan jejaring sosial. Sinergi tersebut dapat diarahkan untuk meningkatkan kemampuan komputasi dan analisis data melalui pengadaan sumber daya komputasi dan penggunaan klaster informatika publik.[Kata kunci: sekuen genom, desain obat in silico, daring, bioinformatika, kesehatan, pertanian]

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