Dataset Information

Differential copper-guided architectures of amyloid β peptidomimetics modulate oxidation states and catalysis.

ABSTRACT: Orchestration of differential architectures of designer peptidomimetics that modulate metal oxidation states to perform multiple chemical transformations remains a challenge. Cu-chelation and self-assembly properties of amyloid β (Aβ14-23) peptide were tuned by the incorporation of cyclic dipeptide (CDP) and pyrene (Py) as the assembly directing and reporting units, respectively. We explore the molecular architectonics of Aβ14-23 derived peptidomimetics (Akd^NMCPy) to form differential architectures that stabilize distinct Cu oxidation states. The fibrillar self-assembly of Akd^NMCPy is modulated to form nanosheets by the one-off addition of Cu^II. Notably, the serial addition of Cu^II resulted in the formation of micelle-like core-shell architectures. The micelle-like and nanosheet architectures were found to differentially stabilize Cu^II and Cu^I states and catalyze tandem oxidative-hydrolysis and alkyne-azide cycloaddition reactions, respectively.

SUBMITTER: Ghosh D

PROVIDER: S-EPMC9419866 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Differential copper-guided architectures of amyloid β peptidomimetics modulate oxidation states and catalysis.

Ghosh Debasis D Konar Mouli M Mondal Tanmay T Govindaraju Thimmaiah T

Nanoscale advances 20220331 9

Orchestration of differential architectures of designer peptidomimetics that modulate metal oxidation states to perform multiple chemical transformations remains a challenge. Cu-chelation and self-assembly properties of amyloid β (Aβ14-23) peptide were tuned by the incorporation of cyclic dipeptide (CDP) and pyrene (Py) as the assembly directing and reporting units, respectively. We explore the molecular architectonics of Aβ14-23 derived peptidomimetics (Akd<sup>NMC</sup>Py) to form differential ...[more]

PMID: 36133442

Similar Datasets

Project description:Nanopore direct RNA sequencing (DRS) enables the capture and full-length sequencing of native RNAs, without recoding or amplification bias. Resulting data sets may be interrogated to define the identity and location of chemically modified ribonucleotides, as well as the length of poly(A) tails, on individual RNA molecules. The success of these analyses is highly dependent on the provision of high-resolution transcriptome annotations in combination with workflows that minimize misalignments and other analysis artifacts. Existing software solutions for generating high-resolution transcriptome annotations are poorly suited to small gene-dense genomes of viruses due to the challenge of identifying distinct transcript isoforms where alternative splicing and overlapping RNAs are prevalent. To resolve this, we identified key characteristics of DRS data sets that inform resulting read alignments and developed the nanopore guided annotation of transcriptome architectures (NAGATA) software package (https://github.com/DepledgeLab/NAGATA). We demonstrate, using a combination of synthetic and original DRS data sets derived from adenoviruses, herpesviruses, coronaviruses, and human cells, that NAGATA outperforms existing transcriptome annotation software and yields a consistently high level of precision and recall when reconstructing both gene sparse and gene-dense transcriptomes. Finally, we apply NAGATA to generate the first high-resolution transcriptome annotation of the neglected pathogen human adenovirus type F41 (HAdV-41) for which we identify 77 distinct transcripts encoding at least 23 different proteins.ImportanceThe transcriptome of an organism denotes the full repertoire of encoded RNAs that may be expressed. This is critical to understanding the biology of an organism and for accurate transcriptomic and epitranscriptomic-based analyses. Annotating transcriptomes remains a complex task, particularly in small gene-dense organisms such as viruses which maximize their coding capacity through overlapping RNAs. To resolve this, we have developed a new software nanopore guided annotation of transcriptome architectures (NAGATA) which utilizes nanopore direct RNA sequencing (DRS) datasets to rapidly produce high-resolution transcriptome annotations for diverse viruses and other organisms.

Dataset Information

Differential copper-guided architectures of amyloid β peptidomimetics modulate oxidation states and catalysis.

Publications

Differential copper-guided architectures of amyloid β peptidomimetics modulate oxidation states and catalysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets