GP-Write computing group
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This document provides a charter and roadmap for a Computing, Data, and Informatics Working Group. It discusses their vision of enabling data, computing, and identity services at unlimited scale. It highlights how information technology has been critical but also a source of tension in large projects like the Human Genome Project. The document outlines current enabling technologies like machine learning, blockchain, and DevOps practices. It identifies key challenge areas the working group will focus on, including identity and authorization, information security and privacy, and issues around data storage in multi-cloud environments. The working group members are then listed.
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Introduction
· Big Data may well be the Next Big Thing in the IT world.
· Big data burst upon the scene in the first decade of the 21st century.
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· Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques.
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(
Volume
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quantity
) (
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1st Character of Big Data
Volume
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Velocity
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3rd Character of Big Data
Variety
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· Big Data analysis includes different types of data
Storing Big Data
· Analyzing your data characteristics
· Selecting data sources for analysis
· Eliminating redundant data
· Establishing the role of NoSQL
· Overview of Big Data stores
· Data models: key value, graph, document, column-family
· Hadoop Distributed File System
· H.
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Here's a comprehensive overview of **Antimalarial Drugs** including their **classification**, **mechanism of action (MOA)**, **structure-activity relationship (SAR)**, **uses**, and **side effects**—ideal for use in your **SlideShare PPT**:
---
## 🦠 **ANTIMALARIAL DRUGS OVERVIEW**
---
### ✅ **1. Classification of Antimalarial Drugs**
#### **A. Based on Stage of Action:**
* **Tissue Schizonticides**: Primaquine
* **Blood Schizonticides**: Chloroquine, Artemisinin, Mefloquine
* **Gametocytocides**: Primaquine, Artemisinin
* **Sporontocides**: Pyrimethamine
#### **B. Based on Chemical Class:**
| Class | Examples |
| ----------------------- | ------------------------ |
| 4-Aminoquinolines | Chloroquine, Amodiaquine |
| 8-Aminoquinolines | Primaquine, Tafenoquine |
| Artemisinin Derivatives | Artesunate, Artemether |
| Quinoline-methanols | Mefloquine |
| Biguanides | Proguanil |
| Sulfonamides | Sulfadoxine |
| Antibiotics | Doxycycline, Clindamycin |
| Naphthoquinones | Atovaquone |
---
### ⚙️ **2. Mechanism of Action (MOA)**
| Drug/Class | MOA |
| ----------------- | ----------------------------------------------------------------------- |
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| **Artemisinin** | Generates free radicals → damages parasite proteins |
| **Primaquine** | Disrupts mitochondrial function in liver stages |
| **Mefloquine** | Disrupts heme detoxification pathway |
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- 3. Historical Perspective In similarly audacious projects (Human Genome Project, HapMap, ENCODE, TCGA, …) … Information technology been a critical enabler … … It has also been a regular source of tension, frustration, and unexpected expense… A “Cray 2” supercomputer on display at the national cryptographic museum. This model of system were the fastest computers in the world until 1990. By one measure of raw performance, the Cray 2 is comparable to a single iPhone
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