Biology subjects

TOMII, K.

Publications and source records attributed to TOMII, K..

3 recordsLinked to original sources

bioRxiv2026

The Gompertz curve for estimating growth rates of Protein Data Bank and protein folds

The Protein Data Bank (PDB) is an ever-growing, open-access repository of structural data of biological molecules. This international database has been instrumental in the development of artificial intelligence and deep learning models for protein structure prediction and design. The PDB growth is a crucially important factor influencing further development of these models. Therefore, after analyzing the growth trend in PDB depositions since the archives launch, we found that it is well fitted by the Gompertz function, a growth curve used across various disciplines. Furthermore, we observed that the function captures the "discovery of novel folds", i.e., the cumulative number of distinct folds among protein domains that constitute most of the PDB. Consequently, based on the fitting results, we estimated the likely numbers of PDB entries and protein folds. These findings provide insights into deceleration of growth in recent years and enable us to assess anticipated trends.

bioinformatics↗

bioRxiv2022

Conformational change in the monomeric alpha-synuclein imparts fibril polymorphs

-Synuclein (Syn) inclusions are a pathological hallmark of several neurodegenerative disorders. While cryo-electron microscopy studies have revealed distinct fibril polymorphs across different synucleinopathies, the molecular switches controlling polymorphism remained unveiled. In this study, we found that fibril morphology is associated with the conformational state of monomeric Syn. Through systematic manipulation of the ionic strength and temperature, we pinpoint two distinct polymorphs: a twisted morphology at low ionic strength and temperature, and a rod-like morphology at higher ionic strength and temperature. Most strikingly, we found that a specific conformational change in the C-terminal domain of the monomeric Syn serves as the master switch for the formation of polymorphs. Interestingly, this conformational change can be triggered by calcium binding to the C-terminus, connecting environmental factors to specific fibril architectures. Our results unmask the C-terminal domain as a key player for orchestrating Syn fibril morphology, providing significant insights into the fibrogenesis of Syn. Significance StatementThe Syn C-terminus domain acts as the master switch programming its fibril polymorphism.

biophysics↗

bioRxiv2020

Meta-Align: A Novel HMM-based Algorithm for Pairwise Alignment of Error-Prone Sequencing Reads

BackgroundInsertion and deletion sequencing errors are relatively common in next-generation sequencing data and produce long stretches of mistranslated sequence. These frameshifting errors can cause very serious damages to downstream data analysis of reads. However, it is possible to obtain more precise alignment of DNA sequences by taking into account both coding frame and sequencing errors estimated by quality scores. ResultsHere we designed and proposed a novel hidden Markov model (HMM)-based pairwise alignment algorithm, Meta-Align, that aligns DNA sequences in the protein space, incorporating quality scores from the DNA sequences and allowing frameshifts caused by insertions and deletions. Our model is based on both an HMM transducer of a pair HMM and profile HMMs for all possible amino acid pairs. A Viterbi algorithm over our model produces the optimal alignment of a pair of metagenomic reads taking into account all possible translating frames and gap penalties in both the protein space and the DNA space. To reduce the sheer number of states of this model, we also derived and implemented a computationally feasible model, leveraging the degeneracy of the genetic code. In a benchmark test on a diverse set of simulated reads based on BAliBASE we show that Meta-Align outperforms TBLASTX which compares the six-frame translations of a nucleotide query sequence against the six-frame translations of a nucleotide sequence database using the BLAST algorithm. We also demonstrate the effects of incorporating quality scores on Meta-Align. ConclusionsMeta-Align will be particularly effective when applied to error-prone DNA sequences. The package of our software can be downloaded at https://github.com/shravan-repos/Metaalign.

bioinformatics↗