Combinatorial Optimization Problems: Molecular Unfolding
N.B. Singh
This audiobook is narrated by a digital voice.
Discover the fascinating world of protein folding and unfolding with "Combinatorial Optimization Problems: Molecular Unfolding." This book is the perfect starting point for absolute beginners looking to understand the intricate processes behind molecular dynamics. It seamlessly integrates fundamental principles with essential optimization techniques, offering readers clear explanations and practical insights. Whether you're a student, researcher, or simply curious about molecular biology, this accessible guide will deepen your understanding of how proteins transition between various states. Embark on a journey into the captivating realm of molecular biology and computational methods—grab your copy today and unlock the secrets of molecular unfolding!
Duration - 19h 15m.
Author - N.B. Singh.
Narrator - Digital Voice Mary G.
Published Date - Monday, 20 January 2025.
Copyright - © 2024 N.B. Singh ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. Discover the fascinating world of protein folding and unfolding with "Combinatorial Optimization Problems: Molecular Unfolding." This book is the perfect starting point for absolute beginners looking to understand the intricate processes behind molecular dynamics. It seamlessly integrates fundamental principles with essential optimization techniques, offering readers clear explanations and practical insights. Whether you're a student, researcher, or simply curious about molecular biology, this accessible guide will deepen your understanding of how proteins transition between various states. Embark on a journey into the captivating realm of molecular biology and computational methods—grab your copy today and unlock the secrets of molecular unfolding! Duration - 19h 15m. Author - N.B. Singh. Narrator - Digital Voice Mary G. Published Date - Monday, 20 January 2025. Copyright - © 2024 N.B. Singh ©.
Language:
English
Combinatorial Optimization Problems: Molecular Unfolding
Duración:00:00:42
Introduction to Molecular Unfolding
Duración:00:01:50
What is Molecular Unfolding?
Duración:00:10:10
Motivation for Optimization in Unfolding Problems
Duración:00:10:28
The Role of Folding Pathways
Duración:00:09:52
Challenges in Modeling Molecular Unfolding
Duración:00:11:08
Historical Development of Unfolding Studies
Duración:00:10:19
Overview of Combinatorial Optimization Techniques
Duración:00:12:31
Mathematical Modeling of Molecular Unfolding
Duración:00:01:35
Graph Theory in Molecular Structures
Duración:00:09:54
Energy Landscapes and Folding Pathways
Duración:00:10:31
Geometric and Topological Approaches
Duración:00:10:48
Mathematical Representations of Proteins
Duración:00:09:16
Energy and Distance Metrics in Unfolding
Duración:00:10:06
Molecular Potential and Interaction Networks
Duración:00:09:47
Combinatorial Optimization Basics
Duración:00:01:55
Introduction to Optimization Theory
Duración:00:08:14
Greedy Algorithms in Optimization
Duración:00:06:55
Dynamic Programming Techniques
Duración:00:06:43
Linear and Integer Programming
Duración:00:07:30
Local Search Methods
Duración:00:07:27
Global Optimization in Combinatorial Problems
Duración:00:08:23
Applications of Graph Theory in Molecular Unfolding
Duración:00:01:50
Shortest Path Problems in Unfolding
Duración:00:08:03
Network Flow Problems
Duración:00:08:18
Spanning Trees and Minimum Cuts
Duración:00:07:50
Graph Coloring in Molecular Structures
Duración:00:09:36
Maximal Cliques and Molecular Clusters
Duración:00:09:19
Graph Isomorphism in Molecular Comparisons
Duración:00:09:56
Molecular Dynamics and Energy Minimization
Duración:00:02:20
Energy Functions in Molecular Systems
Duración:00:07:41
Simulating Unfolding Processes
Duración:00:09:28
Stochastic Methods in Energy Minimization
Duración:00:10:28
Monte Carlo Simulations in Protein Unfolding
Duración:00:09:40
Energy Gradient Descent Methods
Duración:00:08:40
Steepest Descent vs Conjugate Gradient Methods
Duración:00:07:49
Protein Unfolding and Folding Pathways
Duración:00:01:43
Protein Folding Problem
Duración:00:06:28
Energy Barriers and Transitions
Duración:00:07:09
Optimization of Protein Folding Pathways
Duración:00:07:02
Kinetics of Folding and Unfolding
Duración:00:08:24
Free Energy Surface Analysis
Duración:00:07:42
Entropy and Enthalpy Considerations
Duración:00:07:22
Advanced Topics in Combinatorial Optimization
Duración:00:01:53
Mixed-Integer Linear Programming
Duración:00:07:40
Branch and Bound Methods
Duración:00:06:53
Approximation Algorithms
Duración:00:08:01
Cutting Planes and Polyhedral Theory
Duración:00:07:46
Branch-and-Cut Algorithms
Duración:00:07:28
Exact Algorithms for Hard Problems
Duración:00:08:17
Metaheuristic Approaches in Molecular Unfolding
Duración:00:01:58
Genetic Algorithms
Duración:00:14:02
Simulated Annealing
Duración:00:12:23
Particle Swarm Optimization
Duración:00:12:02
Ant Colony Optimization
Duración:00:10:53
Tabu Search Techniques
Duración:00:10:17
Hybrid Metaheuristic Methods
Duración:00:09:07
Quantum Computing and Molecular Unfolding
Duración:00:01:48
Quantum Algorithms for Optimization
Duración:00:06:47
Quantum Annealing for Unfolding Problems
Duración:00:10:51
Quantum Simulations in Molecular Dynamics
Duración:00:09:39
Quantum Speedups in Molecular Optimization
Duración:00:07:43
Quantum Error Correction in Molecular Simulations
Duración:00:07:36
Comparing Classical and Quantum Approaches
Duración:00:07:03
Applications in Drug Design and Discovery
Duración:00:01:45
Molecular Docking Optimization
Duración:00:05:08
Pharmacophore Modeling and Optimization
Duración:00:05:24
Combinatorial Challenges in Drug Discovery
Duración:00:07:05
Virtual Screening and Binding Affinity Optimization
Duración:00:07:00
Lead Optimization in Drug Design
Duración:00:07:45
Protein-Ligand Interaction Modeling
Duración:00:07:31
Multi-objective Optimization in Molecular Unfolding
Duración:00:02:14
Pareto Optimality
Duración:00:07:49
Trade-offs in Energy and Time
Duración:00:08:14
Solving Multi-objective Problems
Duración:00:10:22
Non-dominated Sorting in Unfolding
Duración:00:09:55
Hypervolume Indicator in Multi-objective Spaces
Duración:00:08:52
Applications of Multi-objective Optimization in Biology
Duración:00:10:00
Case Studies in Molecular Unfolding
Duración:00:01:37
Case Study 1: Protein Unfolding in Heat Shock Proteins
Duración:00:04:30
Case Study 2: RNA Unfolding
Duración:00:05:56
Case Study 3: Membrane Protein Unfolding
Duración:00:06:30
Case Study 4: Chaperone-assisted Protein Folding
Duración:00:07:06
Case Study 5: DNA Unfolding in Stress Conditions
Duración:00:06:54
Case Study 6: Protein Misfolding in Neurodegenerative Diseases
Duración:00:08:15
Algorithmic Complexity in Molecular Unfolding Problems
Duración:00:01:59
P vs NP in Molecular Unfolding
Duración:00:07:20
Computational Complexity of Folding Pathways
Duración:00:08:47
Approximation Hardness in Unfolding Problems
Duración:00:09:41
Complexity Classes in Molecular Optimization
Duración:00:10:32
NP-hard Problems in Molecular Folding and Unfolding
Duración:00:10:13
Reducibility and Molecular Optimization
Duración:00:09:37
Randomized Algorithms in Molecular Optimization
Duración:00:02:19
Monte Carlo Methods
Duración:00:13:33
Random Walk Algorithms
Duración:00:07:26
Probabilistic Methods in Optimization
Duración:00:08:19
Las Vegas vs Monte Carlo Algorithms
Duración:00:07:48
Randomized Local Search Techniques
Duración:00:07:56
Randomized Greedy Algorithms
Duración:00:08:03
Hybrid Optimization Approaches
Duración:00:01:53
Combining Metaheuristics with Exact Methods
Duración:00:05:01
Hybrid Quantum-Classical Algorithms
Duración:00:06:40
Machine Learning-Assisted Optimization
Duración:00:07:30
Memetic Algorithms in Molecular Unfolding
Duración:00:08:13
Evolutionary Strategies in Hybrid Approaches
Duración:00:07:12
Combining Stochastic and Deterministic Methods
Duración:00:06:30
Approximation Algorithms in Molecular Folding
Duración:00:01:55
Approximation Guarantees in Unfolding Problems
Duración:00:06:53
Performance Bounds of Approximation Algorithms
Duración:00:06:47
Greedy Approximation in Molecular Optimization
Duración:00:08:22
Approximation via Relaxation Techniques
Duración:00:07:27
Iterative Refinement of Approximate Solutions
Duración:00:06:54
Case Studies in Approximate Molecular Unfolding
Duración:00:09:05
Machine Learning for Molecular Optimization
Duración:00:01:46
Supervised Learning in Molecular Folding
Duración:00:07:35
Reinforcement Learning in Protein Unfolding
Duración:00:07:54
Neural Networks in Energy Function Estimation
Duración:00:07:50
Graph Neural Networks for Protein Structures
Duración:00:07:46
Transfer Learning in Molecular Dynamics
Duración:00:08:44
Self-Supervised Learning in Molecular Unfolding
Duración:00:08:10
Stochastic Optimization in Molecular Unfolding
Duración:00:02:00
Simulated Annealing and Cooling Schedules
Duración:00:06:27
Stochastic Gradient Descent in Molecular Dynamics
Duración:00:08:04
Markov Chain Methods in Unfolding
Duración:00:07:56
Stochastic Differential Equations in Folding Pathways
Duración:00:07:11
Random Search in Protein Folding
Duración:00:06:48
Adaptive Stochastic Search Methods
Duración:00:07:47
Topological Methods in Protein Folding
Duración:00:01:55
Knots and Links in Protein Structures
Duración:00:07:07
Topological Energy Landscapes
Duración:00:08:22
Homology and Protein Unfolding Pathways
Duración:00:07:35
Persistent Homology in Molecular Unfolding
Duración:00:07:51
Torsion Angles and Topology in Folding
Duración:00:07:48
Applications of Topology in Molecular Structures
Duración:00:07:53
Energy Landscapes and Molecular Unfolding
Duración:00:01:55
Exploration of Energy Landscapes
Duración:00:06:36
Energy Minimization via Combinatorial Optimization
Duración:00:07:59
Energy Barriers and Transition States
Duración:00:08:53
Molecular Conformations and Energy Wells
Duración:00:08:59
Energy Landscapes in Protein Folding Simulations
Duración:00:08:56
Navigating Complex Energy Landscapes
Duración:00:09:44
Biophysical Principles in Molecular Unfolding
Duración:00:01:53
Thermodynamics of Protein Folding and Unfolding
Duración:00:08:21
Kinetic Models of Molecular Unfolding
Duración:00:08:54
Molecular Forces and Energy Calculations
Duración:00:08:39
Water Molecules and Unfolding in Hydrophobic Cores
Duración:00:08:02
Solvent Effects in Molecular Dynamics
Duración:00:08:24
Temperature and Pressure Effects on Unfolding
Duración:00:07:06
Future Directions in Molecular Unfolding
Duración:00:02:17
Machine Learning for Molecular Unfolding
Duración:00:06:38
Potential Biological Applications
Duración:00:08:18
Frontiers in Drug Design and Molecular Unfolding
Duración:00:08:44
Challenges in Large-Scale Protein Unfolding Problems
Duración:00:10:14
The Future of Optimization in Molecular Dynamics
Duración:00:09:13
Conclusion
Duración:00:07:27