Advanced Molecular Docking Course with Full Automation. from Udemy

This course will help students from all the categories either beginner or intemediate to learn molecular docking step-by-step with ease and proficiency. All you have to provide is your undivided attention for few hours.

This course provides the hands-on-training related to how to download the protein and ligand files, how to process the files before docking, how molecular docking can be performed and how to analyze the result to select the ligand best attached with our concerned protein.

After completing this couse, you can also be able to perform the docking on libraries contating thousands of componds to identify the best top ligand hits for your concerned protein.

The course also provides the python scripts to automate the whole docking process after teaching you all the basic concepts related to the docking.

After the sequencing of human genome, the possibilties to identiy new genes responsible for causing severe diseases in humans increases manyfold along with the size of unalayzed data. Targetting disease causing gene by different drugs and compounds to affect their disease causing ability will help imensly in identifying the potential therapeutic drug or compoud. Learning and mastering "Molecular Docking" applying this concept in the research field will help the students to contribute in this process and to the humanity as well.

P.S: For my students only

If you are a student of this course and intent to use the above teaching techniques in your research paper, i will be glad to resolve your queries if you face any during the analysis for your paper.

What's inside

Learning objectives

About protein and drug related database
About protein structure visualization
How to perform molecular docking

How to model your protein using webservers as well as using modeller tool
How one can automate the whole docking process using python scripts

About protein and drug related database
About protein structure visualization
How to perform molecular docking
How to model your protein using webservers as well as using modeller tool
How one can automate the whole docking process using python scripts

Syllabus

Introduction

Introduction to Molecular Docking and little Insight of what we will be learning in this course

Students will be able to download 3-dimensional PDB files from database and able to visualize the protein structure in 3D

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Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on training in downloading and processing protein and ligand files, which are essential steps in molecular docking workflows

Teaches how to analyze docking results to identify ligands that best attach to a target protein, a core skill in drug development

Explores automating the docking process using Python scripts, which is valuable for high-throughput screening of large compound libraries

Covers protein modeling using web servers and Modeller, which are standard tools for generating protein structures for docking

Focuses on using molecular docking to target disease-causing genes, which is a key application in modern therapeutic drug discovery

Requires students to download and prepare files for docking, which may necessitate access to specific software or databases

Reviews summary

Practical molecular docking with automation

According to learners, this course offers a highly practical and step-by-step approach to molecular docking, making it accessible even for those new to the field. Students particularly praise the hands-on training covering the entire workflow from data preparation to result analysis. A standout feature frequently mentioned is the inclusion of Python scripts for automating large-scale docking, which is considered extremely valuable for research and professional work. While the core content is seen as clear and foundational, a few students note potential challenges with initial software setup or environment configuration. Overall, the course is widely considered a beneficial resource for applying molecular docking techniques.

Highly applicable for academic/professional use.

"Very useful for my research project in drug discovery."

"Helped me apply docking techniques confidently in my work."

"Great foundation for research in pharmaceuticals and bioinformatics."

"Applicable to academic and industry problems requiring molecular interactions analysis."

Easy-to-follow guidance from basics to analysis.

"This course will help students from all the categories either beginner or intemediate to learn molecular docking step-by-step with ease..."

"walked me through everything from downloading proteins to analyzing results."

"Easy to follow even without prior knowledge of docking."

Focuses on practical application and workflow.

"This course provides the hands-on-training related to how to download the protein and ligand files, how to process the files before docking..."

"Covers the full workflow from preparing molecules to analyzing results."

"Learned how to actually perform docking and visualize interactions."

Includes valuable scripts for automating processes.

"The course also provides the python scripts to automate the whole docking process..."

"Python scripts for automation are a game-changer for my research."

"The automation section is the most valuable part of the course."

"Automating large datasets is a huge plus for high-throughput screening."

Some users found software installation difficult.

"Had some trouble setting up the software on my specific system."

"Environment configuration was a bit tricky to get right initially."

"Needed external help with installation issues before starting exercises."

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 Advanced Molecular Docking Course with Full Automation. with these activities:

Review Protein Structures and Databases

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Reinforce your understanding of protein structures and databases before starting the course. This will help you quickly grasp the initial concepts related to downloading and visualizing protein structures.

Browse courses on PDB

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Review the basics of protein structure, including primary, secondary, tertiary, and quaternary structures.
Familiarize yourself with the Protein Data Bank (PDB) and other relevant databases.
Practice searching for and downloading protein structures from the PDB.

Brush Up on Basic Python Scripting

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Practice basic Python scripting to prepare for the automation aspects of the course. This will make it easier to understand and modify the provided Python scripts for automating molecular docking.

Browse courses on Python Scripting

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Review basic Python syntax, data structures, and control flow.
Practice writing simple scripts to manipulate files and data.
Familiarize yourself with relevant Python libraries like os and subprocess.

Read 'Molecular Modeling Principles and Applications'

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Expand your understanding of molecular modeling principles. This book will provide a deeper understanding of the theoretical underpinnings of molecular docking.

View Molecular Modelling: Principles and Applications on Amazon

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Obtain a copy of 'Molecular Modeling Principles and Applications' by Andrew R. Leach.
Read the chapters related to molecular mechanics, energy minimization, and docking.
Take notes on key concepts and equations.

Four other activities

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Practice Docking with Known Ligand-Protein Complexes

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Refine your docking skills by practicing with known ligand-protein complexes. This will help you become more proficient in preparing files, setting up docking simulations, and analyzing results.

Browse courses on Molecular Docking

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Select several known ligand-protein complexes from the PDB.
Prepare the protein and ligand files for docking using the tools covered in the course.
Perform docking simulations and compare the results with the known binding mode.

Create a Docking Protocol Summary

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Solidify your understanding of the docking workflow by creating a concise summary of the steps involved. This will serve as a useful reference for future docking projects.

Browse courses on Molecular Docking

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Summarize the key steps involved in preparing protein and ligand files.
Outline the procedure for setting up and running docking simulations.
Describe the methods for analyzing and interpreting docking results.

Docking Project: Identify Potential Inhibitors for a Target Protein

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Apply your docking skills to a real-world problem by identifying potential inhibitors for a target protein of interest. This project will allow you to integrate all the concepts and techniques learned in the course.

Browse courses on Molecular Docking

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Select a target protein of interest and download its structure from the PDB.
Search for potential inhibitors in relevant databases or compound libraries.
Perform docking simulations to identify the most promising inhibitors.
Analyze the docking results and write a report summarizing your findings.

Contribute to an Open-Source Docking Tool

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Deepen your understanding of docking algorithms and software by contributing to an open-source docking tool. This will provide valuable experience in software development and collaboration.

Browse courses on Open Source

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Identify an open-source docking tool that you are interested in contributing to.
Explore the codebase and identify areas where you can contribute, such as bug fixes, new features, or documentation.
Submit your contributions to the project and participate in the community.

Career center

Learners who complete Advanced Molecular Docking Course with Full Automation. will develop knowledge and skills that may be useful to these careers:

Computational Chemist

A computational chemist uses computer modeling to study molecules and chemical processes. This course is directly applicable to the work of a computational chemist and introduces the basic principles of molecular docking, which they use to predict how molecules will interact. The hands on approach of the course, with its focus on downloading and preparing files, as well as setting up and visualizing the results of docking will help a future computational chemist. Moreover, given that a computational chemist may need to screen large libraries of molecules, learning to automate the docking process using Python will be extremely useful for a computational chemist.

See salaries and explore the career path for Computational Chemist

Drug Discovery Scientist

A drug discovery scientist works to identify and develop new therapeutic drugs. Mastering molecular docking, as taught in this course, is an important skill for a drug discovery scientist. This role involves understanding how drugs interact with biological molecules, and the course directly addresses this by teaching the hands-on skills of performing molecular docking. It shows how to analyze results to select the best drug candidates. The ability to screen large compound libraries, which this course teaches through Python scripting, is vital to a drug discovery scientist, allowing for efficient identification of promising therapeutic candidates.

See salaries and explore the career path for Drug Discovery Scientist

Medicinal Chemist

A medicinal chemist designs and synthesizes new drug molecules for therapeutic purposes. This course may be useful for a medicinal chemist who investigates how the chemical structure of a molecule influences its biological activity. This course will provide hands-on experience in molecular docking techniques. The course can also help a medicinal chemist learn how to predict the binding affinity of potential drugs to protein targets through automation with Python scripting. Learning to visualize docking interactions will also prove useful to a medicinal chemist.

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Bioinformatician

A bioinformatician applies computational techniques to analyze biological data. Molecular docking is a technique that a bioinformatician might employ, especially in the context of drug development. This course provides a critical introduction to molecular docking, starting from downloading and preparing the necessary files, to running the docking itself, and analyzing the results. Since bioinformaticians often deal with automation, this course's section on Python scripting would be particularly useful for a bioinformatician, especially when screening large datasets.

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Structural Biologist

A structural biologist studies the three-dimensional shapes of biological molecules, such as proteins, and how these shapes influence their biological functions. This course's focus on protein structure visualization and its hands-on molecular docking techniques may be helpful for a structural biologist. This course helps learners gain essential skills in how proteins and drugs interact on a molecular level using modeling software, which can be a core responsibility of a structural biologist. The course will also help a structural biologist with modeling their protein using web-servers and Modeller tool.

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Research Scientist

A research scientist conducts experiments and analyzes data to advance scientific knowledge. This course can be very useful for a research scientist, particularly in the fields of biology or chemistry, as it focuses on the techniques of molecular docking, which are often used to study molecular interactions. The course's focus on how to download and prepare files, perform the docking of molecules, and analyze the results can be useful skills for a research scientist. The course's component on automating the docking process will help a research scientist work more efficiently.

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Data Scientist

A data scientist analyzes and interprets complex data sets. This course may be useful for a data scientist who works with biological data, especially in areas such as drug discovery, where molecular docking is relevant. This course, which covers how to analyze the results of docking, will provide a practical introduction to an important biological data analysis technique. A data scientist may also find the Python scripting component for automating the docking process to be helpful for working with large datasets.

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Biochemist

A biochemist studies the chemical processes of living organisms and may use tools such as molecular docking. Learning about protein structure visualization, as covered in the course, will help a biochemist understand the 3 dimensional aspects of proteins. This course also allows them to learn how to perform molecular docking, model their proteins, screen compounds, and automate the entire process using Python. This course may help a biochemist learn about practical uses of their field in the area of drug discovery.

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Pharmaceutical Scientist

A pharmaceutical scientist researches and develops new pharmaceutical products. This course may be useful because it teaches the hands-on skills of performing and analyzing molecular docking, a key method in drug development. The course covers important aspects of how to prepare and process files while performing molecular docking. Gaining experience in visualizing the docking results and automating the docking process can help a pharmaceutical scientist identify the most promising drug candidates. A pharmaceutical scientist who wishes to develop new drugs may find this course useful.

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Laboratory Technician

A laboratory technician assists in scientific research by carrying out experiments and analyzing data. While a laboratory technician may not be designing experiments, they are often the ones who are performing them. This course may be helpful to a laboratory technician who assists in molecular research. The hands on aspect of this course, which covers downloading files, docking and analyzing results, may help a laboratory technician learn useful skills for running experiments. Automating the docking process through Python scripting, as taught in the course, can increase their efficiency.

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Chemical Engineer

A chemical engineer applies principles of chemistry, physics, mathematics and engineering to design and optimize chemical processes. Molecular docking may be a useful tool in their approach. This course covers the topic of molecular docking, how to prepare files for docking, how to perform the docking, and how to analyze the results, which may be useful for a chemical engineer. Additionally, this course provides the Python scripts to fully automate the docking process, which is often a goal in chemical engineering. This course may provide chemical engineers with new tools to improve their work.

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Software Developer

A software developer designs and creates software applications. This course may be useful for software developers working in the field of bioinformatics and drug discovery. The course provides hands-on experiences with molecular docking and its automation using Python scripts. A software developer who develops software in this field will benefit from a hands-on introduction to the kind of data and processes that their software will need to handle. A software developer who wishes to work in a new field may find this course useful.

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Clinical Researcher

A clinical researcher conducts clinical trials to test new drugs and treatments. This course may be useful in understanding the drug discovery process that precedes clinical trials. The course teaches the key steps involved in molecular docking, from downloading files to visualizing results. It can also help a clinical researcher understand how to automate the docking process using Python scripting. A clinical researcher who wishes to understand how drug candidates are selected may find this course useful.

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Biostatistician

A biostatistician applies statistical methods to biological and health related questions. This course may be useful in the area of drug discovery, where statistical methods are used to analyze the interactions between drugs and their targets. A biostatistician may find this course useful for learning the practical aspects of processing and analyzing molecular docking data. The course teaches how to download files, perform docking experiments, analyze the results, and automate the process using Python. A biostatistician who is interested in the field of drug discovery may find this course useful for understanding and interpreting the data they will be working with.

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Science Educator

A science educator teaches scientific topics at various educational levels. This course may be useful for a science educator who is teaching in the areas of biology or chemistry since molecular docking can show practical applications of these fields. The course provides an introduction to molecular docking principles and the hands on steps of downloading proteins, preparing files, performing docking, analyzing results, and automating the process using Python. This may add to a science educator's expertise in the fields they are teaching. A science educator who would like to teach molecular docking may find this course useful.

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Reading list

We've selected one 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 Advanced Molecular Docking Course with Full Automation..

Molecular Modelling

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Provides a comprehensive overview of molecular modeling techniques, including molecular docking. It covers the theoretical background and practical applications of these methods. This book valuable reference for understanding the underlying principles of molecular docking and interpreting the results. It is commonly used as a textbook in computational chemistry and drug discovery courses.

Molecular Modelling: Principles and Applications

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Advanced Molecular Docking Course with Full Automation.

What's inside

Learning objectives

Syllabus

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Reviews summary

Practical molecular docking with automation

Activities

Career center

Reading list

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