Energy Minimization of Structures

Energy minimization of structures to refine their 3D coordinates based on energy minima.

Energy Minimization of Structures and Ligand Complexes

Energy minimization is a method in computer-aided drug design (CADD) aimed at transforming a structure, which may also include a ligand, into a low-energy state. The idea behind this is that a lower-energy state is statistically favored and therefore more likely to correspond to the natural state of the structure.

As a result, energy minimization can be applied in a variety of drug discovery scenarios.

Learn more about Yasara

Refinement of Structures with Yasara

YASARA (Yet Another Scientific Artificial Reality Application) is a powerful tool for molecular modeling and simulations of ligand-target systems that can be used in BioSolveIT's drug design dashboard SeeSAR. SeeSAR supports the YASARA tools as third party intergration.

Over time, more and more functionalities from YASARA will be integrated into the SeeSAR platform, expanding its capabilities. The first step is the introduction of energy minimization, which can be performed in SeeSAR's Protein Editor Mode.
To do this, the desired protein complex is selected in the Protein Mode and loaded into the Protein Editor Mode.

AutoSMILES: YASARA's Automatic Forcefield Parameter Assignment

A special advantage of YASARA is AutoSMILES, which prepares the structure for optimizations and simulations by automatically assigning force field parameters.
AutoSMILES utilizes advanced methods like pH-dependent bond order assignment, semi-empirical charge calculations, and parameter refinement to ensure accurate and reliable simulations. This eliminates the need for manual intervention in most cases, enabling simulations of approximately 98% of Protein Data Bank (PDB) entries with ease.

Fine-Tune Your Complex

The YASARA module offers two different types of energy minimization: the protein structure's backbone can be kept either rigid or flexible, depending on the intended goal of the optimization.
The flexible option simulates adjustments in both the ligand and the target structure, resembling the simulation of an induced fit. When the rigid option is chosen, only the ligand is allowed to make further adjustments, focusing on bond lengths, bond angles, and its interactions with the target structure.

Both approaches can be used to minimize molecular torsions as well as inter- and intramolecular clashes, ultimately leading to refined structures with a lower level of free energy

Spot New Interactions and Improve Your Predictions

Energy minimization can be used to gain further insights into a ligand-target complex. Through optimization, new interactions with side chains, the backbone, water molecules, metals, or co-complexed ligands may emerge, which can, in turn, positively impact the ligand's score. Such observations are advantageous when aiming to ensure that the best plausible pose of a ligand has been predicted.

Especially with smaller, fragment-like molecules, it is often challenging to predict the correct binding mode. In such cases, a subsequent optimization step following the prediction can provide additional confidence, as the positioning of the ligand has a significant impact on 3D design steps (extension, growing, merging, linking).

Expanding the Binding Site

Energy minimization can also be utilized when the binding site of a structure is too small to host the ligand. Binding sites that are too narrow or virtually non-existent make docking predictions more challenging.

To simulate the induced fit of the target structure to the ligand, one can place the ligand in the binding site and temporarily tolerate clashes with the structure. By performing energy minimization afterward, both the ligand and the structure are allowed to adapt to each other (induced fit), thereby creating more space. In the example shown, clashes with the predicted model were successfully resolved after energy minimization.

Additional application scenarios:
  • Generate space by expanding the ligand into potential subpockets.
  • Overlay target subtypes or different X-ray structures to adapt a particular structure of interest to your ligand.
  • Explore potential rotamers or combinations thereof that may expand the binding site size of your (apo) structures.
  • Create space to host modalities to enable covalent docking.

Portfolio of Different Force Fields for Energy Minimization

Force fields are collections of formulas and parameters used to simulate atomic systems. In addition to the well-known AMBER series, YASARA also provides its own force fields, among which the YASARA force field emerged as the winner in a CASP challenge.

Supported Force Fields

  • AMBER03
  • AMBER10
  • AMBER11
  • AMBER12
  • AMBER14
  • AMBER14IPQ
  • AMBER15FB
  • AMBER15IPQ
  • AMBER94
  • AMBER96
  • AMBER99
  • NOVA
  • NOVA2
  • YAMBER
  • YAMBER2
  • YAMBER3
  • YASARA
  • YASARA2

Enter Your Modeling Simulations Era with YASARA

The world of molecular movements and induced fits can now be explored with SeeSAR and the YASARA module. This optional extension helps users gain even deeper insights into their ligand arrangements, enabling scientifically sound decision-making.

Interested what else SeeSAR has to offer?