MAKOTO KAWATANI^1,2,*, HARUMI AONO², SAYOKO HIRANUMA³, TAKESHI SHIMIZU³, MAKOTO MUROI^1,2, TOSHIHIKO NOGAWA⁴, TOMOKAZU OHISHI⁵, SHUN-ICHI OHBA⁵, MANABU KAWADA⁵, KANAMI YAMAZAKI⁶, SHINGO DAN⁶, NAOSHI DOHMAE¹, HIROYUKI OSADA^2,7,*

Oncology Research, Vol.31, No.6, pp. 833-844, 2023, DOI:10.32604/or.2023.030241 - 15 September 2023

Abstract Dihydroorotate dehydrogenase (DHODH) is a central enzyme of the de novo pyrimidine biosynthesis pathway and is a promising drug target for the treatment of cancer and autoimmune diseases. This study presents the identification of a potent DHODH inhibitor by proteomic profiling. Cell-based screening revealed that NPD723, which is reduced to H-006 in cells, strongly induces myeloid differentiation and inhibits cell growth in HL-60 cells. H-006 also suppressed the growth of various cancer cells. Proteomic profiling of NPD723-treated cells in ChemProteoBase showed that NPD723 was clustered with DHODH inhibitors. H-006 potently inhibited human DHODH activity in vitro, whereas More >

WAYEZ NAQVI, ANANYA SINGH, PREKSHI GARG, PRACHI SRIVASTAVA^*

BIOCELL, Vol.47, No.8, pp. 1675-1687, 2023, DOI:10.32604/biocell.2023.029624 - 28 August 2023

Abstract Biological entities are involved in complicated and complex connections; hence, discovering biological information using network biology ideas is critical. In the past few years, network biology has emerged as an integrative and systems-level approach for understanding and interpreting these complex interactions. Biological network analysis is one method for reducing enormous data sets to clinically useful knowledge for disease diagnosis, prognosis, and treatment. The network of biological entities can help us predict drug targets for several diseases. The drug targets identified through the systems biology approach help in targeting the essential biological pathways that contribute to More >

BOWEN PENG¹, YUN GE¹, GANG YIN^2,3,*

BIOCELL, Vol.47, No.7, pp. 1519-1535, 2023, DOI:10.32604/biocell.2023.027026 - 21 June 2023

Abstract Background: Tanshinone IIA, one of the main ingredients of Danshen, is used to treat hepatocellular carcinoma (HCC). However, potential targets of the molecule in the therapy of HCC are unknown. Methods: In this study, we collected the tanshinone IIA targets from public databases for investigation. We screened differentially expressed genes (DEGs) across HCC and normal tissues using mRNA expression profiles from The Cancer Genome Atlas (TCGA). Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression models were used to identify and construct the prognostic gene signature. Results: Finally, we discovered common… More >

JIA LIU^1,2,#, FAPING WANG^1,2,#, BO YUAN³, FENGMING LUO^1,2,*

BIOCELL, Vol.47, No.4, pp. 697-705, 2023, DOI:10.32604/biocell.2023.026148 - 08 March 2023

Abstract Runt-related transcription factor-1 (RUNX1), also known as the core-binding factor alpha 2 subunit, is closely related to human leukemia. The functions of RUNX1 in modulating cell proliferation, differentiation, and survival in multiple systems have been gradually discovered with the emergence of transgenic mice. RUNX1 is a powerful transcription factor implicated in diverse signaling pathways and cellular mechanisms that participate in lung development and pulmonary diseases. RUNX1 has recently been identified as a target regulator of fibrotic remodeling diseases, particularly in the kidney. However, the role of RUNX1 in pulmonary fibrosis is unclear. Pulmonary fibrosis is More >

G. Kavipriya^*, D. Manjula

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1675-1689, 2023, DOI:10.32604/iasc.2023.027670 - 19 July 2022

Abstract Drug-target interactions prediction (DTIP) remains an important requirement in the field of drug discovery and human medicine. The identification of interaction among the drug compound and target protein plays an essential process in the drug discovery process. It is a lengthier and complex process for predicting the drug target interaction (DTI) utilizing experimental approaches. To resolve these issues, computational intelligence based DTIP techniques were developed to offer an efficient predictive model with low cost. The recently developed deep learning (DL) models can be employed for the design of effective predictive approaches for DTIP. With this… More >

SUCHITRA NISHAL¹, VIKAS JHAWAT^1,*, SUMEET GUPTA², PARMITA PHAUGAT¹

Oncology Research, Vol.30, No.5, pp. 221-230, 2022, DOI:10.32604/or.2022.027549 - 03 February 2023

Abstract Kinase inhibitors are a significant and continuously developing division of target therapeutics. The drug discovery and improvement efforts have examined numerous attempts to target the signaling pathway of kinases. The Kinase inhibitors have been heralded as a game-changer in cancer treatment. For developing kinase inhibitors as a treatment for various non-malignant disorders like auto-immune diseases, is currently undergoing extensive research. It may be beneficial to investigate whether cell-specific kinase inhibitor administration enhances therapeutic efficacy and decreases adverse effects. The goal of the current review is to gain insight into the role of kinase inhibitors in… More >

G. Naveen Sundar¹, Stalin Selvaraj², D. Narmadha¹, K. Martin Sagayam³, A. Amir Anton Jone³, Ayman A. Aly⁴, Dac-Nhuong Le^5,6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 31-46, 2022, DOI:10.32604/cmes.2022.019914 - 18 July 2022

Abstract Hepatocellular carcinoma (HCC) is one major cause of cancer-related mortality around the world. However, at advanced stages of HCC, systematic treatment options are currently limited. As a result, new pharmacological targets must be discovered regularly, and then tailored medicines against HCC must be developed. In this research, we used biomarkers of HCC to collect the protein interaction network related to HCC. Initially, DC (Degree Centrality) was employed to assess the importance of each protein. Then an improved Graph Coloring algorithm was used to rank the target proteins according to the interaction with the primary target More >

Mengdan Ma^1,2, Yuchen Liu^1,*, Weiren Huang^1,*

Oncologie, Vol.23, No.4, pp. 463-492, 2021, DOI:10.32604/oncologie.2022.019415 - 31 December 2021

Abstract The clustered regularly interspaced short palindromic repeats (CRISPR)-Cas system, which is an RNA-guided nuclease system, plays an important role in the adaptive immune response of bacteria, and it is a rapidly developing gene editing technology. It has been widely used in a variety of cells, microorganisms, plants, and animals. This technique has helped to overcome the limitations of previous gene editing methods, and it has promoted the development of synthetic biology, genetics, and proteomics. The ability of the CRISPR-Cas system to modify the genetic components of a system has led to various practical applications, such… More >

Ashutosh Singh¹, Shruti Mishra², Dhwani Raghav¹, Asheesh shanker¹, Vinay Sharma¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.6, No.2, pp. 119-124, 2008, DOI:10.3970/icces.2008.006.119

Abstract Drug resistance has increased the pace of war against the ever-growing challenge of mycobacterial infections particularly with the growing menace of tuberculosis (TB).Previous studies reported several essential and virulent genes of mycobacterium like virS gene and mymA operon[1] through experimental approaches. However, Post genomic approach applied for the identification of targets for tuberculosis which includes the comparison of Mycobacterium tuberculosis CDC1551 proteome against database of essential genes and proteome of Homo sapiens. A total of approx 4000 proteins were studied and compared and 19 proteins were found to possess potentiality to call as Targets. More >