Biology subjects

Tomoike, F.

Publications and source records attributed to Tomoike, F..

3 recordsLinked to original sources

bioRxiv2025

Global Identification of Highly Expandable and Shrinkable Proteins via Intramolecular Distance Scoring Analysis

Experimental and analytical characterizations of protein structural changes are essential for understanding various biological functions. It is well known that each protein or protein complex undergoes shape changes in a specific manner and to a certain extent, influenced by factors such as molecular interactions and the solvent environment. To enable quantitative comparisons of shape changes among multiple proteins, we previously introduced an index called the "UnMorphness Factor" (UMF), which is derived using a simple, original method-- intramolecular distance scoring analysis (DSA). Using this approach, we have accumulated data for over 15,000 proteins. Here, we show that among the proteins exhibiting significant structural changes, some are found to undergo substantial isotropic volume expansion or contraction. The uniformity of three-dimensional size changes can be represented by a linear correlation between the average and standard deviation of all intramolecular C-C distances across a proteins structural set. Packing analysis of such proteins reveals that the void volume within the same polypeptide chain can increase by up to 50% relative to the reference state. Our study clearly demonstrates that this type of structural change plays a crucial role in understanding the detailed processes of ligand binding, catalytic reaction cycles, and protein folding pathways.

biophysics↗

bioRxiv2022

Distance-based global analysis of consistent cis-bonds in protein backbones

Biological polypeptides are known to contain cis-linkage in their main chain as a minor but important feature. Such anomalous connection of amino acids has different structural and functional effects on proteins. Experimental evidence of cis-bonds in proteins is mainly obtained using X-ray crystallography and other methods in the field of structural biology. To date, extensive analyses have been carried out on the experimentally found cis-bonds using the Protein Data Bank entry bases and/or residue bases; however, their consistency in each protein has not been examined on a global scale. Data accumulation and advances in methodology enable the use of new approaches from a proteomic point of view. Here, we sought to describe a simple procedure for the detection and confirmation of cis-bonds from a set of experimental coordinates for a protein to discriminate this type of bond from isomerizable and/or misassigned bonds. The resulting set of consistent cis bonds provides unprecedented insights into the trend of "high cis content" proteins and the upper limit of consistent cis bonds per polypeptide length. Recognizing such limit would not only be important for a practical check of upcoming structures, but also for the design of novel protein folds beyond the evolutionally-acquired repertoire.

biophysics↗

bioRxiv2019

Repertoire of morphable proteins in an organism

All living organisms have evolved to contain a set of proteins with variable physical and chemical properties. Efforts in the field of structural biology have contributed to uncovering the shape and the variability of each component. A set of experimental coordinates for a given protein can be used to define the \"morphness/unmorphness\". Here we show the results of global analysis of more than a thousand E. coli proteins, demonstrating that it would be a comprehensive method of understanding the evolved repertoire in an organism. By collecting \"UnMorphness Factor\" (UMF) determined for each of the proteins, the lowest and the highest boundaries of the experimentally observable structural variation are understood. The distribution of UMFs obtained for an organism is expected to represent how rigid and flexible components are balanced. The present analysis extends to evaluate the growing data from single particle cryo-electron microscopy, providing valuable information on effective interpretation to structural changes of proteins and the supramolecular complexes. The data and the method presented here also conform to FAIR data principles, having potential significance to advance the field of structural and molecular cell biology.

biophysics↗