Interlinked Key Factors in Biomolecule Structure Determination: Experimental and Computational Methods

Quite intriguingly, the key factors included in Figure~/ref{fig:77733key} are interlinked to one another. Starting from experimental structure determination, where experimental techniques such as X-ray crystallography, NMR spectroscopy, cryo-electron microscopy (cryo-EM), or Cryo-electron tomography (cryo-ET) /cite{Li2023cryo-ET,Eisenstein2023} are used to record direct experimental data, e.g., X-ray diffraction pattern, chemical shift, cryo-EM images, or Cryo-ET tomographies. Afterwards, structure calculation methods are used to refine and interpret the experimental data, which involve mathematical algorithms and computational structural modeling to provides the initial atomic coordinates, with which the forcefield Figure~/ref{fig:77733key} describes the interactions between atoms. Subsequently, energy minimization optimizes the atomic positions to find the lowest energy configuration, and to generate a accurate and complete representation of the biomolecule's structure. In short, these factors (Figure~/ref{fig:77733key}) are interlinked, forcefield, atomic coordinates, structural information, PTM, PEM, /pKa, and energy minimization all rely on each other to accurately determine and interpret the structure of biomolecules. Experimental techniques provide the initial data, which is then refined and interpreted using structure calculation methods. The forcefield describes the interactions between atoms, and energy minimization optimizes the atomic positions to find the most stable structure. This interplay between experimental and computational methods is crucial in understanding the structure and function of biomolecules.