Informatics Publishing Limited

Kumar Nikhil ¹, Shruti Sharan ¹, Partha Roy ¹

Affiliations
1 Molecular Endocrinology Laboratory, Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, IN

Abstract

The androgen receptor (AR) signalling axis plays a vital role in the development, function and homeostasis of the prostate. The classical action of AR is to regulate gene transcriptional processes successively via AR nuclear translocation, binding to androgen response elements on target genes and recruitment of, or crosstalk with, transcription factors. Dysregulation of androgen/AR signalling perturbs normal reproductive development and accounts for a wide range of pathological conditions such as androgen-insensitive syndrome, prostate cancer (PCa) and cardiovascular diseases. Prostate cancer (PCa) initiation and progression is also uniquely dependent on AR. Androgen deprivation therapy remains the standard form of treatment of advanced PCa. Recent research provides a much more detailed understanding of the role of AR in normal human development and physiology in relation to its structure and functions. This review discusses genomic and non-genomic actions of AR, as well as their co-regulators. In addition we also explore several clinically relevant aspects of the molecular biology of the AR in the pathogenesis of non-cancerous and cancerous diseases.

Keywords

Androgen, Androgen Receptor, Co-Regulator, Genomic Action, Prostate Cancer.

Full Text

     

Partha Roy ¹, Ramesh Kumar ¹, Sanjay Sharma ²

Affiliations
1 Bhilai Institute of Technology, Durg, IN
2 Department of Applied Mathematics, Bhilai Institute of Technology, Durg, IN

Abstract

This paper is aimed to present a survey on recent literature in the areas of applying Soft Computing, Data-mining and Swarm Intelligence for Stock Market Forecasting. The objective is to synergize new ideas in the field of developing expert systems in the field of stock market forecasting. This papers‘ contribution is to explore the major areas where researches have been undertaken, and attempt to identify the degree of successes associated with different research approaches. This paper discusses various research approaches used for stock market forecasting which reflects the fact that using only one approach or tool cannot lead to successful forecasts, hence it can be concluded that combining soft-computing, data-mining and swarm-optimization would definitely result in better and reliable forecasting systems. These three approaches can closely model the human behavior and knowledge, which is very much desired while forecasting stock markets and developing expert systems for the same.

Keywords

Data Mining, Forecasting, Soft Computing, Swarm Intelligence.

Full Text

     

Deepak Kumar Semwal ¹, Ashutosh Chauhan ², Ruchi Badoni Semwal ³, Debabrata Sircar ⁴, Partha Roy ⁴, Jörg Lehmann ⁵

Affiliations
1 Department of Phytochemistry, Faculty of Biomedical Sciences, Uttarakhand Ayurved University, Harrawala, Dehradun 248 001, IN
2 Department of Biotechnology, Faculty of Biomedical Sciences, Uttarakhand Ayurved University, Harrawala, Dehradun 248 001, IN
3 Department of Chemistry, Pt Lalit Mohan Sharma Government Postgraduate College, Rishikesh 249 201, IN
4 Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
5 Department of Therapy Validation, Fraunhofer Institute for Cell Therapy and Immunology IZI, Perlickstr. 1, 04103 Leipzig, DE

Abstract

In the current scenario, developing treatments, identifying cures and formulating intervention strategies to fight against the COVID-19 outbreak, have become the major concern for researchers globally. Several studies have confirmed the molecular pathway of COVID-19 virulence that involves activation of proteins like angiotensin-converting enzyme 2 (ACE2), angiotensin (AT) receptor which is mainly AT1, and transmembrane protease serine 2 (TMPRSS2). Since the virus needs the involvement of these proteins, over and above its spike protein, for activation and infecting the host, it is obvious that targeting or blocking the activation of these molecules may play a critical role in the development of therapeutics for the cure and management of COVID-19. Many studies have been reported and several are ongoing to find a cure using these molecules as a target. While initially COVID-19 was thought to be affecting the human respiratory system, recent shreds of evidence indicate that this infection can reach beyond the lungs. It can invade and rampage almost all the organs in the body, and ‘cytokine storm’ is considered to be responsible for this. The reason for disease severity is not what matters anymore now, everyone is hoping for a cure soon enough. Therefore, there is an urgent need to search for some novel drugs/chemicals. Towards this end, natural products can contribute immensely since they have a long history of usage for the cure and management of various ailments, including viral infections. Various natural products (mainly from plants) have structural similarities to the molecules which by AT has been shown to interact with targets used by COVID-19 during its infection. This is indeed a positive indication for the development of natural products-based therapeutics. This aspect, therefore, warrants serious consideration for the cure and management of the COVID-19 pandemic.

Keywords

Coronavirus, Cure And Management, Herbal Medicine, Natural Products, Pandemic.

Full Text

   

Bidhan Mahajon ¹, A. Ramamurthy ², Rupashri Nath ³, Manish K. Gautam ⁴, Neeladri Das ⁵, Partha Roy ⁶

Affiliations
1 Central Council for Research in Ayurvedic Sciences (CCRAS), Ministry of AYUSH, New Delhi - 110058, IN
2 PG Department of Dravyaguna Vigyana, National Institute of Ayurveda, Jaipur - 302002, Rajasthan, IN
3 Department of Roganidana and Vikritivigyana, Uttrakhand Ayurved University, Dehradun - 248001, Uttrakhand, IN
4 Assam down town University, Panikhaiti, Guwahati - 781026, Assam, IN
5 Molecular Endocrinology Laboratory, Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee - 247667, Uttarakhand, IN
6 Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee - 247667, Uttarakhand, IN

Abstract

An experimental evaluation of anti-fatigue activity of Shramahara Mahaakashaaya (SM) and its applicability in sports medicine has been systematically evaluated. Aqueous, ethanolic and petroleum ether extracts of SM granules (200mg/kg) were studies for light-dark model test for assessment anti-anxiety effect, rota-rod test for assessment of the effect on muscle tone and muscle balance, weight loaded forced swimming test for assessment of anti-fatigue activity. The acute toxicity study of SM granules has also been evaluated as per the OECD 423. SM granules showed significant anti-fatigue activity in different experimental models and found safe up to 2000mg/kg body weight dose. The results provide an important basis for considering Shramahara Mahaakashaaya (SM) as an alternative medicine having anti-fatigue effects which can be further included in the sports medicine.

Keywords

Acute Toxicity, Anti-Anxiety, Anti-Fatigue, Shramahara Mahaakashaaya.

Full Text