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Bioinformatics For Proteomics (Protein Structure Modeling) - OneDDL - 12-21-2023
![[Image: ce3aa102da3404d26a35fd2fc4a060b4.jpeg]](https://i122.fastpic.org/big/2023/1221/b4/ce3aa102da3404d26a35fd2fc4a060b4.jpeg)
Free Download Bioinformatics For Proteomics (Protein Structure Modeling)
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.06 GB | Duration: 1h 16m
Unveiling the Proteome: Navigating Protein Structure with Bioinformatics using the CLI and GUI Tools
What you'll learn
Protein basic Concepts
Understanding different techniques for protein prediction
Understanding Comparative or Homology modeling
Protein Modeling Using GUI Interface
Swiss Model hands on training
Protein Modeling Using CLI Interface
Protein Modeling Using Modeller
Protein Modeling using Machine learning
Requirements
Background knowledge of Biology
Knowledge of the composition and function of Proteins
Description
Unlock the Power of Protein Modeling: Learn to Model Proteins in this Comprehensive CourseIn the world of biochemistry, protein structure is paramount to understanding biological function and designing potential drug candidates. While experimental methods like X-ray crystallography, NMR, and cryo-EM have made significant strides, acquiring structures for all desired proteins remains a challenging and time-consuming task. Enter computational approaches as a potent alternative and supplement to experimental methods.In this course, we guide you through the process of protein modeling, enabling you to predict protein structures effectively. We cover a range of essential topics and techniques, including:1. Protein Basic Concepts:Familiarize yourself with the foundational concepts of proteins, their structures, and their significance in biological processes.2. Techniques for Protein Prediction:Explore different techniques employed in protein prediction, gaining insights into their strengths and limitations.3. Comparative or Homology Modeling
ive into the world of comparative or homology modeling, the most reliable and established computational approach for predicting protein structures. Learn to identify related homologous proteins with known experimental structures and utilize them as templates to construct atomic-resolution models of target proteins from their amino acid sequences.4. Protein Modeling Using GUI Interface:Embark on a hands-on journey using a graphical user interface (GUI) for protein modeling. We introduce Swiss Model, a widely used tool, and provide comprehensive training on utilizing its features effectively.5. Protein Modeling Using CLI Interface:Master protein modeling using a command-line interface (CLI). Explore advanced tools such as Modeller and gain proficiency in using them to generate accurate protein models.Throughout the course, you'll receive practical training and engage in exercises to reinforce your understanding. By the end of the program, you'll possess the knowledge and skills necessary to model proteins confidently, even in the absence of known experimental structures.Imagine the possibilities speeding up drug development and repositioning by predicting the effects of existing medications on new viruses, generating antibody sequences in response to specific targets, and employing models for drug screening. With this course, you'll be equipped to make significant contributions to the field of bioinformatics and accelerate scientific advancements.Don't miss this opportunity to unlock the power of protein modeling. Enroll now and take the first step toward mastering this essential skill.Overview
Section 1: Introduction
Lecture 1 Course Introduction
Section 2: Homology Based Protein Modeling
Lecture 2 Explaining Homology Modeling
Lecture 3 GUI based Modeling of Proteins
Lecture 4 Command Line based Protein Modeling
Section 3: De-Novo and Machine Learning Methods
Lecture 5 Performing Protein Prediction through ML and De novo Methods
People generally interested in new research methodologies and would like to try them themselves!,Beginner Bioinformaticians looking to understand the process of Proteins
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