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A perfect course for Bachelors / Masters / PhD students who are getting started into Drug Discovery research. This course is specially designed keeping in view of beginner level knowledge on computational drug discovery applications for science students. By the end of this course participants will be equipped with the basic knowledge required to navigate their drug discovery project making use of the biological databases and computational tools.
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Specifically designed for Bachelors / Masters / PhD students getting started into Drug Discovery research with beginner level knowledge on computational drug discovery applications
Teaches the basic knowledge required to navigate a drug discovery project making use of the biological databases and computational tools
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Reviews summary
Beginner-friendly computer drug discovery
Learners say this beginner-friendly course on the basics of computer aided drug discovery is easy to follow and understand. Sal, the experienced instructor, presents engaging lectures and provides well-structured lessons that make learning the fundamentals of this field easy and enjoyable.
Organized and well-structured content
"I like the way the course is set up. I've found the topics easy to remember so far"
"Well-structured. Thank you Sal."
"I like the segmented nature of Sal’s approach; bite size nuggets of information."
Knowledgeable and experienced instructor
"Sal's background as a teacher really shows in the way she structures her courses and in the way she produces the content."
"She makes the material engaging and easy to understand. She really knows her stuff and is a great resource for mastering the tarot! Thanks Sal!"
"it is absolutely great! I am a total beginner and the explanations are great to understand the tarot clearly!"
Easy to follow for beginners
"Loved the course. It was easy to learn as Iam beginner"
"Easy to understand for beginners"
"amazing I've learnt so much so far, not just about tarot but about how i connect to it"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Basics of Computer Aided Drug Discovery Part-I with these
activities:
Review concepts of bioinformatics
Show steps
Refresh your understanding of bioinformatics concepts to enhance your comprehension of drug discovery applications.
Browse courses on
Bioinformatics
Show steps
-
Review the principles of DNA and protein sequencing
-
Familiarize yourself with bioinformatics databases
Compile a personalized database of drug discovery resources
Show steps
Empower yourself by creating a tailored collection of resources to support your drug discovery journey.
Browse courses on
Databases
Show steps
-
Identify relevant databases, tools, and articles
-
Organize and categorize the resources for easy access
Connect with experienced professionals in the field of drug discovery
Show steps
Accelerate your learning by seeking guidance and insights from experts in the drug discovery industry.
Browse courses on
Mentorship
Show steps
-
Attend industry events and conferences
-
Reach out to professionals on LinkedIn or other platforms
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in online forums or discussion groups on drug discovery
Show steps
Expand your understanding by engaging in discussions and collaborating with peers who share your interest in drug discovery.
Show steps
-
Identify relevant online forums or discussion groups
-
Actively participate in discussions and ask questions
Solve practice problems on drug discovery algorithms
Show steps
Strengthen your algorithmic understanding by working through practice problems specific to drug discovery.
Browse courses on
Computational Methods
Show steps
-
Find online platforms or textbooks with practice problems
-
Attempt to solve the problems independently
Explore advanced tutorials on virtual screening techniques
Show steps
Enhance your knowledge of virtual screening techniques by following expert tutorials.
Show steps
-
Identify platforms or software for virtual screening
-
Follow tutorials to learn the principles and applications of virtual screening
Create a computational model for predicting drug-target interactions
Show steps
Reinforce your understanding of drug discovery by developing a model to predict molecular interactions.
Show steps
-
Choose a protein target and a library of potential drug molecules
-
Select a molecular docking software and perform docking simulations
-
Analyze the docking results and identify potential drug candidates
Design a research poster summarizing your drug discovery project
Show steps
Consolidate your understanding of drug discovery by presenting your findings in a concise and visually appealing format.
Browse courses on
Scientific Communication
Show steps
-
Summarize your project aims and objectives
-
Present your computational methods and results
-
Discuss the implications of your findings
Review concepts of bioinformatics
Show steps
Refresh your understanding of bioinformatics concepts to enhance your comprehension of drug discovery applications.
Browse courses on
Bioinformatics
Show steps
Show steps
Show steps
- Review the principles of DNA and protein sequencing
- Familiarize yourself with bioinformatics databases
Compile a personalized database of drug discovery resources
Show steps
Empower yourself by creating a tailored collection of resources to support your drug discovery journey.
Browse courses on
Databases
Show steps
Show steps
Show steps
- Identify relevant databases, tools, and articles
- Organize and categorize the resources for easy access
Connect with experienced professionals in the field of drug discovery
Show steps
Accelerate your learning by seeking guidance and insights from experts in the drug discovery industry.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events and conferences
- Reach out to professionals on LinkedIn or other platforms
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in online forums or discussion groups on drug discovery
Show steps
Expand your understanding by engaging in discussions and collaborating with peers who share your interest in drug discovery.
Show steps
Show steps
Show steps
- Identify relevant online forums or discussion groups
- Actively participate in discussions and ask questions
Solve practice problems on drug discovery algorithms
Show steps
Strengthen your algorithmic understanding by working through practice problems specific to drug discovery.
Browse courses on
Computational Methods
Show steps
Show steps
Show steps
- Find online platforms or textbooks with practice problems
- Attempt to solve the problems independently
Explore advanced tutorials on virtual screening techniques
Show steps
Enhance your knowledge of virtual screening techniques by following expert tutorials.
Show steps
Show steps
Show steps
- Identify platforms or software for virtual screening
- Follow tutorials to learn the principles and applications of virtual screening
Create a computational model for predicting drug-target interactions
Show steps
Reinforce your understanding of drug discovery by developing a model to predict molecular interactions.
Show steps
Show steps
Show steps
- Choose a protein target and a library of potential drug molecules
- Select a molecular docking software and perform docking simulations
- Analyze the docking results and identify potential drug candidates
Design a research poster summarizing your drug discovery project
Show steps
Consolidate your understanding of drug discovery by presenting your findings in a concise and visually appealing format.
Browse courses on
Scientific Communication
Show steps
Show steps
Show steps
- Summarize your project aims and objectives
- Present your computational methods and results
- Discuss the implications of your findings
Career center
Learners who complete Basics of Computer Aided Drug Discovery Part-I will develop knowledge and skills
that may be useful to these careers:
Drug Discovery Scientist
Drug Discovery Scientist
Drug Discovery Scientists use computer science techniques to identify and develop new drugs. This course is specifically designed for students who are interested in pursuing a career in Drug Discovery, and it provides a foundation in the use of biological databases and computational tools, which are essential for this role. The course also covers topics such as molecular docking and virtual screening, which are important techniques used by Drug Discovery Scientists.
Bioinformatician
Bioinformatician
Bioinformaticians use computer science techniques to analyze biological data. This course may be useful for Bioinformaticians because it provides a foundation in the use of biological databases and computational tools, which are essential for this role. The course also covers topics such as sequence alignment and gene expression analysis, which are important techniques used by Bioinformaticians.
Molecular Modeler
Molecular Modeler
Molecular Modelers use computer simulations to study the structure and function of molecules. This course may be useful for Molecular Modelers because it provides a foundation in the use of biological databases and computational tools, which are essential for this role. The course also covers topics such as molecular docking and virtual screening, which are important techniques used by Molecular Modelers.
Cheminformatician
Cheminformatician
Cheminformaticians use computer science techniques to analyze chemical data. This course may be useful for Cheminformaticians because it provides a foundation in the use of biological databases and computational tools, which are essential for this role. The course also covers topics such as molecular structure analysis and chemical property prediction, which are important techniques used by Cheminformaticians.
Computational Chemist
Computational Chemist
Computational Chemists use computer simulations to study the interactions between molecules. This course may be useful for Computational Chemists because it provides a foundation in the use of biological databases and computational tools, which are essential for this role. The course also covers topics such as molecular docking and virtual screening, which are important techniques used by Computational Chemists.
Pharmaceutical Scientist
Pharmaceutical Scientist
Pharmaceutical Scientists use computer science techniques to develop and test new drugs. This course may be useful for Pharmaceutical Scientists because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as molecular docking and virtual screening, which are important techniques used by Pharmaceutical Scientists.
Data Scientist
Data Scientist
Data Scientists use computer science techniques to analyze large datasets. This course may be useful for Data Scientists because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as machine learning and data visualization, which are important techniques used by Data Scientists.
Project Manager
Project Manager
Project Managers oversee the development and implementation of new drugs. This course may be useful for Project Managers because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as project planning and management, which are important skills for Project Managers.
Toxicologist
Toxicologist
Toxicologists study the effects of drugs on the human body. This course may be useful for Toxicologists because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as toxicology and risk assessment, which are important skills for Toxicologists.
Regulatory Affairs Manager
Regulatory Affairs Manager
Regulatory Affairs Managers ensure that drugs comply with government regulations. This course may be useful for Regulatory Affairs Managers because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as regulatory compliance and government affairs, which are important skills for Regulatory Affairs Managers.
Quality Assurance Manager
Quality Assurance Manager
Quality Assurance Managers ensure that drugs are manufactured and tested to meet safety and efficacy standards. This course may be useful for Quality Assurance Managers because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as quality control and quality assurance, which are important skills for Quality Assurance Managers.
Veterinarian
Veterinarian
Veterinarians diagnose and treat diseases in animals. This course may be useful for Veterinarians because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as veterinary medicine and animal health, which are important skills for Veterinarians.
Zoologist
Zoologist
Zoologists study the behavior and evolution of animals. This course may be useful for Zoologists because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as zoology and animal behavior, which are important skills for Zoologists.
Sales Representative
Sales Representative
Sales Representatives sell drugs to hospitals, pharmacies, and other healthcare providers. This course may be useful for Sales Representatives because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as sales techniques and customer relationship management, which are important skills for Sales Representatives.
Technical Writer
Technical Writer
Technical Writers create and edit documents that explain complex technical information. This course may be useful for Technical Writers because it provides a foundation in the use of biological databases and computational tools, which are becoming increasingly important for this role. The course also covers topics such as technical writing and editing, which are important skills for Technical Writers.
For more career information including salaries, visit:
OpenCourser.com/course/slg7ak/basics
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Basics of Computer Aided Drug Discovery Part-I.
Save
Provides a comprehensive overview of medicinal chemistry. It covers a wide range of topics, from drug design to clinical trials. It is an excellent reference for students and researchers in the field of drug discovery.
Save
Provides a comprehensive overview of virtual screening methods. It covers a wide range of topics, from target identification to lead optimization. It is an excellent reference for students and researchers in the field of drug discovery.
Provides a comprehensive overview of medicinal chemistry. It covers a wide range of topics, from drug design to clinical trials. It is an excellent reference for students and researchers in the field of drug discovery.
Provides a comprehensive overview of molecular pharmacology. It covers a wide range of topics, from drug-receptor interactions to signal transduction pathways. It is an excellent reference for students and researchers in the field of drug discovery.
Provides a comprehensive overview of pharmaceutical biotechnology. It covers a wide range of topics, from gene cloning to protein expression. It is an excellent reference for students and researchers in the field of drug discovery.
Provides a comprehensive overview of molecular modeling methods for drug design. It covers a wide range of topics, from molecular mechanics to quantum mechanics. It is an excellent reference for students and researchers in the field of drug discovery.
Provides a comprehensive overview of lead optimization methods for drug discovery. It covers a wide range of topics, from structure-activity relationships to ADMET properties. It is an excellent reference for students and researchers in the field of drug discovery.
Provides a gentle introduction to molecular modeling. It covers the basics of molecular mechanics, quantum mechanics, and molecular dynamics. It good starting point for students who are new to the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/slg7ak/basics
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Specifically designed for Bachelors / Masters / PhD students getting started into Drug Discovery research with beginner level knowledge on computational drug discovery applications
Teaches the basic knowledge required to navigate a drug discovery project making use of the biological databases and computational tools
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