Molecular Dynamics Simulation Course
A Course In Gem Bioinformatics Plan
ENGLISH WITH SUBTITLES IN SPANISH, ENGLISH, FRENCH, ARABIC
27 students
.png){kind=small}
Molecular Dynamics Simulation Course Allows You To Develop The Advanced Level Skills In Analyzing MD Simulations
Molecular Dynamics is a computer simulation approach permitting the time evolution prediction of an interacting particular system which involves the generation of atomic trajectories of a system using numerical integration of Newton’s laws of motion to define specific interatomic potential using the initial condition and boundary condition.
It is one of the principle approaches for the study of biological molecules computationally for calculating the time dependent behaviour of a molecular system. It provides detailed information about the fluctuations and conformational changes in proteins and nucleic acids.
MD simulation analysis is one of the essential steps while designing novel drugs using computational approaches. MD analysis not just evaluates and validates the protein structures, either predicted computationally or experimentally, but also validates the drug-target compatibility by providing various statistical information about the interacting drug-target complex.
In this course you’ll learn how to develop expertise in molecular dynamics simulations to predict the most suitable in silico conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks.
Joining and learning from the Molecular Dynamics Simulation Course can enhance your biological career by learning through various useful & informative pre-recorded lectures on Molecular Dynamics Simulation analysis using GROMACS.
Each Plan Includes
Step-by-step pre-recorded lectures
Subtitles (English, Spanish, French, Arabic)
Learn any time, any where!
Transcription
Notes
Coding scripts
BioPresentations
Exercises
Automated Evaluations (MCQs)
100% Authentic Certificate
Course Content
C1
C2
C3
C4
C5
C6
Protein Structure Preparation
Energy Minimization
Minimized Structure Visualization
NVT Ensemble
NPT Ensemble
Simulation Execution
Target Audience
The target audience for the Basic Linux Scripting For Bioinformatics are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and analysis.
However, a superficial understanding of molecular biology and logic development for coding is expected from you before you join the course.
Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.
Contents
Categories
Lecture Count
Protein Structure Preparation
6 Lectures
Energy Minimization
1 Lectures
Minimized Structure Visualization
1 Lectures
NVT Ensemble
1 Lectures
NPT Ensemble
1 Lectures
Simulation Execution
1 Lectures
Total Lectures
11 Lectures
Total Duration
1h 19m 31s
This is what BioCode Courses are Like
Learn at Your Own Pace
Enjoy learning from home without a set schedule. You set your own timetable.
Always Accessible
Each instructor teaches only what she/he does best, conveying true passion and excellence in every lesson.
Front Row Seats
Videos of the highest quality ensure that you don't miss a single detail. With unlimited access, you can watch them over and over.
Additional Resources
Downloadable transcription files, BioPresentations, and code scripts for each lecture to ensure that you don’t miss a single detail at any step. With automated evaluations & exercise questions, you can track your progress.
Learn From the Best
Learn valuable methods and techniques explained by top experts in the creative sector.
Certificate
Demonstrate your course attendance with a certificate signed by the teacher.
.png){kind=small}
Share Knowledge
Ask questions, request feedback, offer solutions. Share learning with other students in the community.
Professionally Developed Courses
We selected top creatives and a team of experts to develop the courses. The result? You'll feel like you're working side by side with leading professionals.
The topics covered in Molecular Dynamics Simulation course are also incorporated in the following courses:
Price: 249.99$
Get started from the very basics to advanced level Bioinformatics analysis and biological programming in Python, BioPython & R. This plan also included all the topics from Basic, Introductory and Intermediate Bioinformatician Courses, in this course you’ll also develop expertise in molecular dynamics simulations to predict the most suitable in vivo conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks. You’ll also be learning various concepts related to how to write programs for MicroArray Gene Expression Analysis, and complete end-to-end Linux (BASH) for Bioinformatics.
52 Weeks
00 hours 59 min per week
Included in Advanced Bioinformatician Course
Content Duration:
50 hours 20 min
Price: 179.99$
Get started from the very basics to advanced level Bioinformatics analysis, learn most efficient and commonly utilized Bioinformatics pipelines, software, servers and more. This plan also included all the topics from Basic, Introductory and Intermediate Bioinformatics Courses, in this course you’ll also develop expertise in molecular dynamics simulations to predict the most suitable in vivo conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks. You’ll become an end-to-end expert in Bioinformatics once you’ve completed this course.
52 Weeks
00 hours 55 min per week
Included in Advanced Bioinformatician Course
Content Duration:
47 hours 35 min
Price: 129.99$
Get started with advanced biological programming on Linux. Along with the topics covered in Intermediate Linux Scripting for Bioinformaticians, you’ll learn how to develop expertise in molecular dynamics simulations to predict the most suitable in vivo conformations of biological macromolecules for drug designing. You’ll also be learning complete end-to-end Linux (BASH) for Bioinformatics.
52 Weeks
00 hours 19 min per week
Included in Advanced Bioinformatician Course
Content Duration:
16 hours 25 min
-
What is the uniqueness that BioCode is offering?It’s the first company that is offering the complete organized applied bioinformatics courses and computational biological courses for the students of allied health sciences to enhance their computational skills.
-
What is the concept behind making this company?The root concept behind making the BioCode is the development of computational skills in students, and to spread the use of computational tools to tackle the biological problems.
-
Is it a national or multinational company?We’re moving from country to country. As we get success, we’ll extend our range.
-
What payment methods do you support?Fees can be submitted through PayPal, Cash or JazzCash.
-
What are the subscription options?We offer annual, quarter and month-long subscriptions. All provide unlimited access to BioCode’s courses. Monthly – You receive unlimited access to BioCode courses for one month. Quarterly – You receive unlimited access to BioCode courses for three months. Full quarterly subscription price is paid up front. Annually – You receive unlimited access to BioCode courses for twelve months. Full annual subscription price is paid up front. This option provides the best value on a per month basis.
-
Why one needs to study from BioCode?Because BioCode provides a thorough knowledge of computational biological tools, bioinformatics and biological programming for the beginners and experts who wants strong commands in dry lab, that no other organization is providing.
-
Can I cancel my subscription?Yes, you can cancel the subscription at any time within 30 days of your order.
-
Duration of courses?BioCode doesn’t bound one in the circle of time. One can start according to demand and need. You can watch the videos anytime within the 30 days of your membership.
-
How courses will be taught?Videos will be released on specific topics, and these videos will be having the complete information regarding the topic in it.
-
Can I still login to BioCode after my subscription ends?No, whenever your subscription ends, you’ll not have any access to your account.
-
Is there any other organization offering this?No, there’s not any other organization or company offering this.
-
Which programming languages will be taught?Python and R language will be covered in the designated courses.
-
How often will the videos be released?2-3 Videos will be released per week.
-
What is BioCode return policy?If you purchased the course within 7 days, you can request a refund by sending us an email with your order ID. You'll be provided the refund equivalent to the remaining days.
-
Can my "refund" be rejected?"We have a 7-day return policy so learners can evaluate the course. However, we also have to protect our authors against fraud. If we determine that you have spent a considerable amount of time on the lessons, we reserve the right to reject your return. In short, evaluate the course and only keep it if you are satisfied but don’t abuse the return policy. Authors invest significant time into creating great courses. Abusing the return policy can result in the suspension of your account.
-
I purchased the wrong course. What do I do?If you purchased the course within 7 days, you can request a refund by sending us an email with your order ID. You can find the order ID in the confirmation email that you received or transaction.
-
For how long do I have access to the course?As long as you’re subscribed to a specific package, you’ve access to your account. As the subscription ends, you’ll not have any access to your account.
.png)
Biological Data Visualization with ggplot2 in R
Get hands-on experience on the basic to advanced level analysis & visualization of biological datasets using the ggplot2 packages in R language. Also learn how to write scripts, preprocess, explore, visualize and analyze biological datasets for more meaningful biological research.
.jpg)