Helices are one of the most common and were among the earliest recognized secondary structure elements in proteins. The assignment of helices in a protein underlies the analysis of its structure and function. Though the mathematical expression for a helical curve is simple, no previous assignment programs have used a genuine helical curve as a model for helix assignment. In this paper we present a two-step assignment algorithm. The first step searches for a series of bona fide helical curves each one best fits the coordinates of four successive backbone Cα atoms. The second step uses the best fit helical curves as input to make helix assignment. The application to the protein structures in the PDB (protein data bank) proves that the algorithm is able to assign accurately not only regular α-helix but also 310 and π helices as well as their left-handed versions. One salient feature of the algorithm is that the assigned helices are structurally more uniform than those by the previous programs. The structural uniformity should be useful for protein structure classification and prediction while the accurate assignment of a helix to a particular type underlies structure-function relationship in proteins.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488512 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0129674 | PLOS |
Aesthetic Plast Surg
December 2024
J.P. Hospital, Zirakpur, Punjab, India.
Background: Nasal ala defects present significant reconstructive challenges due to their complex anatomy and functional importance. Auricular composite grafts, incorporating both skin and cartilage, are particularly suited for this purpose because they can replace the multilayered structure of the nasal ala in a single surgical procedure, thereby restoring both form and function. Clinical outcomes of these grafts in the reconstruction of ala defects have been highly promising with studies indicating near complete survival rates.
View Article and Find Full Text PDFNat Commun
November 2024
MRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.
APC/C is a multi-subunit complex that functions as a master regulator of cell division. It controls progression through the cell cycle by timely marking mitotic cyclins and other cell cycle regulatory proteins for degradation. The APC/C itself is regulated by the sequential action of its coactivator subunits CDC20 and CDH1, post-translational modifications, and its inhibitory binding partners EMI1 and the mitotic checkpoint complex.
View Article and Find Full Text PDFChemistry
November 2024
NMR-supported Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie, Robert-Rössle-Str. 10, 13125, Berlin, Germany.
Phytochromes perceive subtle changes in the light environment and convert them into biological signals by photoconversion between the red-light absorbing (Pr) and the far-red-absorbing (Pfr) states. In the primitive bacteriophytochromes this includes refolding of a tongue-like hairpin loop close to the chromophore, one strand of an antiparallel β-sheet being replaced by an α-helix. However, the strand sequence in the cyanobacterial phytochrome Cph1 is different from that of previously investigated bacteriophytochromes and has a higher β-sheet propensity.
View Article and Find Full Text PDFAdv Anat Pathol
January 2025
Sir Peter MacCallum Department of Oncology, The University of Melbourne.
Ovarian mucinous tumors are subclassified in multiple categories. Recent studies have highlighted issues in interobserver reproducibility. This review will focus on some new developments including criteria and ancillary tests that may help to improve interobserver reproducibility at clinically important thresholds.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
February 2025
Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom. Electronic address:
Microbial communities play crucial roles in shaping natural ecosystems, impacting human well-being, and driving advancements in industrial biotechnology. However, associating specific metabolic functions with bacteria proves challenging due to the vast diversity of microorganisms within these communities. In the past decades stable isotope probing (SIP) approaches, coupled with vibrational spectroscopy, have emerged as a novel method for revealing microbial metabolic roles and interactions in complex communities.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!