Membrane transporters play an important role in the transport of metabolites important for many biological processes. To understand the role of functionally important residues in the dynamics of the transport mechanisms, which are usually identified in experiments, we employ various computational approaches such as Molecular Dynamics simulations and Elastic Network Models (ENM). The systems studied include: a) AbgT transporter YdaH protein, b) CCM-constituent low CO2 inducible protein Lci1 and c) RND-like HpnN protein. For MD simulations, systems are prepared with VMD. Protein-embedded lipid systems are minimized for 250,000 steps, followed by equilibration until the temperature reaches 310° K and production MD is then run for 50 ns with 2 replicas. Further, we perform Steered MD for several mutants to understand how the transport is affected by these changes. All simulations have been run using NAMD with the Charmm36 forcefield. For analysis with ENM, coarse-graining at the level of one point per amino acid is used with embedding in lipids. Slow global modes indicate the most dynamic regions of the protein as well as showing the motions of the important residues. By combining these results with the correlated motions obtained from MD trajectories we obtain significant insights into the roles of functionally important residues.