scholarly journals Computational Drug Simulation: A Step to the Possible Cure of COVID-19

2020 ◽  
Author(s):  
Kumar Sharp ◽  
Dr. Shubhangi Dange
Keyword(s):  
Clinical Trials ◽  
Drug Design ◽  
World Health Organization ◽  
World Health ◽  
Anti Psychotic ◽  
Computer Aided Drug Design ◽  
Computer Aided ◽  
Inflammatory Drugs ◽  
Health Organization ◽  
Modern Era

World Health Organization declared COVID-19 as a pandemic on 11th March,2020. Without any exact cure or vaccine, this disease has certainly taken a toll of humanity. Computer-aided Drug Design (CADD) is the modern era simulator for aiding in finding cure before starting actual clinical trials in patients. We have not indulged into making a new drug but analysing the existing drugs as approved by FDA to find the possible cure options. Based on the above data from our study, we find that anti-inflammatory drugs like prednisone and anti-psychotic drugs can be used for targeting the spike glycoprotein of the SARS-CoV2 virus.

scholarly journals Computational Drug Simulation: A Step to the Possible Cure of COVID-19

2020 ◽  
Author(s):  
Kumar Sharp ◽  
Dr. Shubhangi Dange
Keyword(s):  
Clinical Trials ◽  
Drug Design ◽  
World Health Organization ◽  
World Health ◽  
Anti Psychotic ◽  
Computer Aided Drug Design ◽  
Computer Aided ◽  
Inflammatory Drugs ◽  
Health Organization ◽  
Modern Era

World Health Organization declared COVID-19 as a pandemic on 11th March,2020. Without any exact cure or vaccine, this disease has certainly taken a toll of humanity. Computer-aided Drug Design (CADD) is the modern era simulator for aiding in finding cure before starting actual clinical trials in patients. We have not indulged into making a new drug but analysing the existing drugs as approved by FDA to find the possible cure options. Based on the above data from our study, we find that anti-inflammatory drugs like prednisone and anti-psychotic drugs can be used for targeting the spike glycoprotein of the SARS-CoV2 virus.

scholarly journals Computational Drug Simulation: A Step to the Possible Cure of COVID-19

2020 ◽  
Author(s):  
Kumar Sharp ◽  
Dr. Shubhangi Dange
Keyword(s):  
Clinical Trials ◽  
Drug Design ◽  
World Health Organization ◽  
World Health ◽  
Anti Psychotic ◽  
Computer Aided Drug Design ◽  
Computer Aided ◽  
Inflammatory Drugs ◽  
Health Organization ◽  
Modern Era

World Health Organization declared COVID-19 as a pandemic on 11th March,2020. Without any exact cure or vaccine, this disease has certainly taken a toll of humanity. Computer-aided Drug Design (CADD) is the modern era simulator for aiding in finding cure before starting actual clinical trials in patients. We have not indulged into making a new drug but analysing the existing drugs as approved by FDA to find the possible cure options. Based on the above data from our study, we find that anti-inflammatory drugs like prednisone and anti-psychotic drugs can be used for targeting the spike glycoprotein of the SARS-CoV2 virus.

scholarly journals Early Insights From Clinical Trials of Typhoid Conjugate Vaccine

2020 ◽  
Vol 71 (Supplement_2) ◽  
pp. S155-S159
Author(s):  
Kathleen M Neuzil ◽  
Buddha Basnyat ◽  
John D Clemens ◽  
Melita A Gordon ◽  
Priyanka D Patel ◽  
...  
Keyword(s):  
Clinical Trials ◽  
World Health Organization ◽  
Conjugate Vaccine ◽  
Trial Data ◽  
Early Data ◽  
World Health ◽  
Data Support ◽  
Health Organization

Abstract Clinical trials of typhoid conjugate vaccine (TCV) are ongoing in 4 countries. Early data confirm safety, tolerability, and immunogenicity of typhoid conjugate vaccine, and early efficacy results are promising. These data support World Health Organization recommendations and planned country introductions. Forthcoming trial data will continue to inform programmatic use of typhoid conjugate vaccine.

scholarly journals COMPUTER AIDED DRUG DESIGN: A PARADIGM SHIFT TO RATIONAL DRUG DESIGN (A CASE STUDY OF ALZHEIMER’S DRUG INTERPIRDINE FAILURE)

2020 ◽  
Vol 4 (12) ◽  
pp. 13-18
Author(s):  
Dr. Kalpana Virendra Singh ◽  
Dr. Shobha Shouche ◽  
Dr. Ramchander Merugu ◽  
Dr. Jeeven Singh Solanki
Keyword(s):  
Clinical Trials ◽  
Drug Discovery ◽  
Drug Design ◽  
Final Stage ◽  
Financial Burden ◽  
Rational Drug Design ◽  
Financial Loss ◽  
Computer Aided Drug Design ◽  
Computer Aided

Drug discovery and design is a tedious and lengthy process which takes enormous time, andwhen this process reaches it’s final stage that is the final stage of clinical trials 90% of thepromising drug candidates fail levying a huge financial burden of around $2-3bn on thedeveloper company. The drug failure not only incurs a financial loss to the company, but alsosmashes the hopes of the patients and families waiting for the successful approval of the drug.The scenario is even complicated when it comes to the drug approval for diseases likeAlzheimer’s. Computer aided drug design may help in the drug discovery process by slashingthe time required for searching the potential drug target through computer aided software andprograms. However the key to the success of the drug still lies in the understanding of themechanism of the cause of disease and prognosis. Computer aided drug design help in theselection and modification of leads out of number of hits available. The present study dealswith a case study of Intepridine an ambitious Axovant drug molecule which failed in the finalphase of clinical trials and was withdrawn from the market by Axovant the developer pharmacompany.

Report of the 7th meeting on Evaluation of Pandemic Influenza Vaccines in Clinical Trials, World Health Organization, Geneva, 17–18 February 2011

Vaccine ◽  
2011 ◽  
Vol 29 (44) ◽  
pp. 7579-7586 ◽  
Author(s):  
Marc P. Girard ◽  
Jacqueline M. Katz ◽  
Yuri Pervikov ◽  
Joachim Hombach ◽  
John S. Tam
Keyword(s):  
Clinical Trials ◽  
World Health Organization ◽  
Pandemic Influenza ◽  
Influenza Vaccines ◽  
World Health ◽  
Health Organization

scholarly journals The Cuban Public Registry of Clinical Trials: primary registry of World Health Organization.

2011 ◽  
Vol 4 (3) ◽  
pp. 161-164 ◽  
Author(s):  
Gladys Jiménez ◽  
María Amparo Pascual ◽  
Martha Fors ◽  
José Cobas ◽  
Ania Torres ◽  
...  
Keyword(s):  
Clinical Trials ◽  
World Health Organization ◽  
World Health ◽  
Health Organization

scholarly journals Ventilatory support and corticosteroid therapy in SARS-CoV-2

2021 ◽  
Vol 34 (Suppl 1) ◽  
pp. 52-56
Author(s):  
Fernando Martínez Sagasti ◽  
Alba Palazón Blanco ◽  
Sandra Catalina García-Perrote ◽  
Patricia Alonso Martínez ◽  
Keyword(s):  
Clinical Trials ◽  
Respiratory Failure ◽  
Therapeutic Strategy ◽  
Ventilatory Support ◽  
Short Review ◽  
World Health ◽  
Medical Community ◽  
The World ◽  
Inflammatory Drugs ◽  
Health Organization

It has been almost two years since COVID-19, a disease caused by a new coronavirus called SARS-CoV-2, was declared a pandemic by the World Health Organization. The entire scientific and medical community was put to the test during the following months to find the best therapeutic strategy to save lives. Although some antivirals and anti-inflammatory drugs are being tested in different clinical trials with some controversial results, this short review will focus on corticosteroids usefulness and ventilatory support principles, as they have become two essential therapeutic pillars for those patients who need hospital admission due to respiratory failure.

KLASIFIKASI TUMOR JINAK DAN TUMOR GANAS PADA CITRA MAMMOGRAM MENGGUNAKAN GRAY LEVEL CO-OCCURRENCE MATRIX (GLCM) DAN SUPPORT VECTOR MACHINE (SVM)

2021 ◽  
Vol 26 (2) ◽  
pp. 176-186
Author(s):  
Lulu Mawaddah Wisudawati
Keyword(s):  
Support Vector Machine ◽  
World Health Organization ◽  
Computer Aided Diagnosis ◽  
World Health ◽  
Support Vector ◽  
Gray Level ◽  
Computer Aided ◽  
Health Organization ◽  
Occurrence Matrix ◽  
Aided Diagnosis

Kanker payudara merupakan penyebab utama kematian pada wanita. Data Global Cancer Observatory 2018 dari World Health Organization (WHO, 2020) menunjukkan kasus kanker yang paling banyak terjadi di Indonesia adalah kanker payudara, yakni 58.256 kasus atau 16.7% dari total 348.809 kasus kanker. Mamografi merupakan teknik yang paling umum digunakan dalam mendeteksi tumor payudara menggunakan sistem sinar-X dosis rendah. Ada beberapa tipe abnormalitas dalam citra mammogram, yaitu mikrokalsifikasi dan massa. Penelitian ini bertujuan untuk meningkatkan performa sistem Computer-Aided Diagnosis (CAD) dalam mengklasifikasi tumor jinak dan tumor ganas dengan mengembangkan metode ekstraksi fitur menggunakan Gray Level Co-Occurrence Matrix (GLCM) dan metode klasifikasi menggunakan Support Vector Machine (SVM). Uji coba dilakukan dengan menggunakan database DDSM dengan 256 citra abnormal (95 tumor jinak dan 161 tumor ganas) menghasilkan nilai akurasi sebesar 83.59% dengan nilai sensitivitas dan spesifisitas 87.58% dan 76.84%. Selain itu, didapatkan nilai AUC sebesar 0.98%. Metode tersebut menunjukkan bahwa sistem memberikan hasil performa yang baik dalam mengklasifikasi tumor jinak dan tumor ganas.

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