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Conformational Landscapes Normal Modes & Ensembles Training | NMA, PCA, Ensembles & State Models

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Structural Bioinformatics, Protein Engineering & Biophysics >> Conformational Landscapes Normal Modes & Ensembles Training | NMA, PCA, Ensembles & State Models

Conformational Landscapes — Normal Modes & Ensembles — Hands-on

Understand how proteins move across their conformational landscapes. This module connects normal mode analysis, molecular dynamics, essential dynamics and ensemble modelling so that you can characterize motions, identify functional states, and extract mechanistic insight for docking, design and allostery studies.

Conformational Landscapes — Normal Modes & Ensembles
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Session 1
Fee: Rs 19800
Conformational Landscapes & Normal Modes
  • Energy landscapes and conformational basins
  • minima, barriers and pathways native state ensembles rugged vs smooth landscapes
  • Normal mode analysis (NMA) foundations
  • Hessian matrices and eigenmodes low frequency collective motions elastic network models (ENM)
  • Visualizing mode motions and displacements
  • arrow and morph animations overlap with experimental states link to functional domains
Session 2
Fee: Rs 23800
MD Trajectories, PCA & Essential Dynamics
  • Preparing and inspecting MD trajectories for analysis
  • alignment and fitting choices removal of overall translation / rotation coordinate selection (backbone vs atoms)
  • Principal component analysis (PCA) of motions
  • covariance matrices eigenvectors and eigenvalues projection of trajectories onto PCs
  • Essential dynamics and free energy projections
  • 2D landscapes along PC1/PC2 population densities and basins linking PCs to experimental observables
Session 3
Fee: Rs 27800
Ensembles, Clustering & State Models
  • Generating and curating conformational ensembles
  • downsampling long MD runs RMSD and PC based metrics removal of poorly equilibrated frames
  • Clustering methods for conformations
  • k-means and hierarchical clustering density based methods selection of representative structures
  • From clusters to kinetic and state models
  • transition counts between states basic Markov state model (MSM) ideas estimating lifetimes and transition paths
Session 4
Fee: Rs 30800
Functional Motions, Allostery & Reporting
  • Relating modes and ensembles to function
  • open–closed transitions gating and loop motions mapping motions onto active sites
  • Allosteric pathways and communication routes
  • mode based allostery indicators network and graph views of motions coupling of distant sites
  • Deliverables: landscape figures, ensembles & narrative
  • free energy maps and projections representative structures per state mechanistic story for reports and slides


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