Docking in the field of molecular
biology is the study of how two or more molecular structures fit
together. It is an invaluable tool in the field of molecular
biology, computational structural biology or pharmacogenomics and
is an important component of drug discovery toolbox.
Docking is a molecular modelling
technique that predicts the preferred orientation of how a protein
interacts with small molecules (ligands), nucleic acids or other
target proteins. Such simple bimolecular (protein-ligand) or
supramolecular (protein-nucleic acid/ protein- protein)
interactions are usually adjusted for to achieve the appropiate
conformation, proper relative orientation, total energetic cost of
the system and the overall "best fit". This is because proteins are
flexible with variable degrees of freedom and their conformational
space is also huge.
Algorithmic based or computer
simulated docking techniques are employed for intermolecular
interactions which is based on shape complementarity and binding
affinity. Shape complementarity between the solvent accessible
areas of a receptor protein and the ligand's molecular surface
determines the relative goodness-of-fit. Multiple combinations of
protein-ligand duo based on shape complementarity can be generated
and a scoring function needs to be assigned for the binding free
energies of the interaction which determines the system's total
energy for each conformational adjustment. This therefore
determines the affinity of the ligand for its protein.
Docking has several implications in
the field of computer-aided drug designing and in the understanding
of structural and molecular biology. As interactions between
biologically relevant macromolecules or small molecules can play a
central role in signal transduction, molecular docking has emerged
to be a poweful technique to investigate such interactions.
In protein ligand interactions,
docking helps to identify the target sites on the ligands surface
which interacts with the target protein.
The mode of action of various
enzymes can be understood using molecular docking.
In targeted drug-delivery system,
one can explore the the size, shape, charge distribution, polarity,
hydrogen bonding, and hydrophobic interactions of both ligand and
the target macromolecule.
In computer aided drug designing,
molecular docking can suggest all possible conformations in the
huge energy landscape of a protein, thus saving time and cost to
discover drugs by traditional experimental methods.
Due to the availability of several
crystallized molecules and ligands, molecular docking can be used
to study protein interactions, verify the crystallized compounds
for interactions. The scoring function helps to select the best fit
from an array of suitable protein-ligand orientations and
conformations. Similarly active sites on the drugs/ compounds,
active binding sites on the target protein for suitable test
ligands and best possible binding orientation can be figured out
using this tool.
What are key ingredients required for docking?What is the
difference between a ligand like benzene and a ligand like
n-hexane? What can you do to account for this difference when
docking the two ligands separately into the same binding pocket of
the protein named T4 Lysozyme? For receptors that can undergo a
large conformational change like G-protein coupled receptor (GPCR),
what can you do in docking to account for this flexibility?
Question: What is required to make cross-docking a
viable solution for a logistics provider?
Question: Describe the differences between functional
and innovative products.
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What is a design document? What is included in a design
document? How is it useful for training?
Customer service training involves far transfer. What design
features would you include in a customer service training program
to ensure that transfer of training occurred? What is a curriculum
road map? Why is it important?