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      Constrained peptides mimic a viral suppressor of RNA silencing

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          Abstract

          The design of high-affinity, RNA-binding ligands has proven very challenging. This is due to the unique structural properties of RNA, often characterized by polar surfaces and high flexibility. In addition, the frequent lack of well-defined binding pockets complicates the development of small molecule binders. This has triggered the search for alternative scaffolds of intermediate size. Among these, peptide-derived molecules represent appealing entities as they can mimic structural features also present in RNA-binding proteins. However, the application of peptidic RNA-targeting ligands is hampered by a lack of design principles and their inherently low bio-stability. Here, the structure-based design of constrained α-helical peptides derived from the viral suppressor of RNA silencing, TAV2b, is described. We observe that the introduction of two inter-side chain crosslinks provides peptides with increased α-helicity and protease stability. One of these modified peptides (B3) shows high affinity for double-stranded RNA structures including a palindromic siRNA as well as microRNA-21 and its precursor pre-miR-21. Notably, B3 binding to pre-miR-21 inhibits Dicer processing in a biochemical assay. As a further characteristic this peptide also exhibits cellular entry. Our findings show that constrained peptides can efficiently mimic RNA-binding proteins rendering them potentially useful for the design of bioactive RNA-targeting ligands.

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          MicroRNAs: target recognition and regulatory functions.

          MicroRNAs (miRNAs) are endogenous approximately 23 nt RNAs that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes to direct their posttranscriptional repression. This review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on both the expression and evolution of protein-coding genes.
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            ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB.

            Molecular mechanics is powerful for its speed in atomistic simulations, but an accurate force field is required. The Amber ff99SB force field improved protein secondary structure balance and dynamics from earlier force fields like ff99, but weaknesses in side chain rotamer and backbone secondary structure preferences have been identified. Here, we performed a complete refit of all amino acid side chain dihedral parameters, which had been carried over from ff94. The training set of conformations included multidimensional dihedral scans designed to improve transferability of the parameters. Improvement in all amino acids was obtained as compared to ff99SB. Parameters were also generated for alternate protonation states of ionizable side chains. Average errors in relative energies of pairs of conformations were under 1.0 kcal/mol as compared to QM, reduced 35% from ff99SB. We also took the opportunity to make empirical adjustments to the protein backbone dihedral parameters as compared to ff99SB. Multiple small adjustments of φ and ψ parameters were tested against NMR scalar coupling data and secondary structure content for short peptides. The best results were obtained from a physically motivated adjustment to the φ rotational profile that compensates for lack of ff99SB QM training data in the β-ppII transition region. Together, these backbone and side chain modifications (hereafter called ff14SB) not only better reproduced their benchmarks, but also improved secondary structure content in small peptides and reproduction of NMR χ1 scalar coupling measurements for proteins in solution. We also discuss the Amber ff12SB parameter set, a preliminary version of ff14SB that includes most of its improvements.
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              miRBase: from microRNA sequences to function

              Abstract miRBase catalogs, names and distributes microRNA gene sequences. The latest release of miRBase (v22) contains microRNA sequences from 271 organisms: 38 589 hairpin precursors and 48 860 mature microRNAs. We describe improvements to the database and website to provide more information about the quality of microRNA gene annotations, and the cellular functions of their products. We have collected 1493 small RNA deep sequencing datasets and mapped a total of 5.5 billion reads to microRNA sequences. The read mapping patterns provide strong support for the validity of between 20% and 65% of microRNA annotations in different well-studied animal genomes, and evidence for the removal of >200 sequences from the database. To improve the availability of microRNA functional information, we are disseminating Gene Ontology terms annotated against miRBase sequences. We have also used a text-mining approach to search for microRNA gene names in the full-text of open access articles. Over 500 000 sentences from 18 542 papers contain microRNA names. We score these sentences for functional information and link them with 12 519 microRNA entries. The sentences themselves, and word clouds built from them, provide effective summaries of the functional information about specific microRNAs. miRBase is publicly and freely available at http://mirbase.org/.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                16 December 2021
                06 December 2021
                06 December 2021
                : 49
                : 22
                : 12622-12633
                Affiliations
                Chemical Genomics Centre of the Max Planck Society , Dortmund 44227, Germany
                Department of Chemistry and Chemical Biology, Technical University Dortmund , Dortmund 44227, Germany
                Department of Chemistry and Pharmaceutical Sciences , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Amsterdam Institute of Molecular and Life Sciences (AIMMS) , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Department of Chemistry and Pharmaceutical Sciences , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Amsterdam Institute of Molecular and Life Sciences (AIMMS) , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Department of Chemistry and Pharmaceutical Sciences , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Amsterdam Institute of Molecular and Life Sciences (AIMMS) , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Department of Biochemistry, Radboud Institute for Molecular Life Sciences, Radboud University , Nijmegen Medical Center, Nijmegen 6525 GA, The Netherlands
                Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw , Warsaw 02-109, Poland
                Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw , Warsaw 02-109, Poland
                Silence Therapeutics GmbH , Robert-Rössle-Str. 10, 13125 Berlin, Germany
                Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw , Warsaw 02-109, Poland
                Department of Biochemistry, Radboud Institute for Molecular Life Sciences, Radboud University , Nijmegen Medical Center, Nijmegen 6525 GA, The Netherlands
                Department of Medical Biochemistry, College of Medicine and Medical Sciences, Arabian Gulf University , Manama 293, Bahrain
                University Hospital Essen, Institute for Transfusion Medicine , Essen 45147, Germany
                Chemical Genomics Centre of the Max Planck Society , Dortmund 44227, Germany
                Department of Chemistry and Chemical Biology, Technical University Dortmund , Dortmund 44227, Germany
                Department of Chemistry and Pharmaceutical Sciences , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Amsterdam Institute of Molecular and Life Sciences (AIMMS) , Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands
                Author notes
                To whom correspondence should be addressed. Tel: +31 20 59 88339; Email: t.n.grossmann@ 123456vu.nl
                Author information
                https://orcid.org/0000-0002-5744-226X
                https://orcid.org/0000-0001-8212-6093
                https://orcid.org/0000-0002-4361-0103
                https://orcid.org/0000-0003-0881-2719
                https://orcid.org/0000-0003-0179-4116
                Article
                gkab1149
                10.1093/nar/gkab1149
                8682738
                34871435
                265cc832-6ee5-436d-a4c1-07582198d182
                © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 03 November 2021
                : 01 October 2021
                : 23 October 2020
                Page count
                Pages: 12
                Funding
                Funded by: European Research Council, DOI 10.13039/100010663;
                Award ID: 678623
                Funded by: AstraZeneca, DOI 10.13039/100004325;
                Funded by: Bayer CropScience, DOI 10.13039/100008791;
                Funded by: Bayer HealthCare, DOI 10.13039/501100000801;
                Funded by: Boehringer Ingelheim, DOI 10.13039/100001003;
                Funded by: Merck KGaA, DOI 10.13039/100009945;
                Funded by: Max Planck Society, DOI 10.13039/501100004189;
                Funded by: Polish National Science Center;
                Award ID: 2017/26/A/NZ1/01083
                Funded by: IIMCB, DOI 10.13039/501100014425;
                Funded by: Polish Academy of Sciences, DOI 10.13039/501100004382;
                Award ID: 312
                Funded by: Polish Grid Infrastructure, DOI 10.13039/501100011089;
                Award ID: rnpmd
                Award ID: rnpmc
                Award ID: simcryox
                Funded by: University of Warsaw, DOI 10.13039/501100006445;
                Award ID: GB76-30
                Categories
                AcademicSubjects/SCI00010
                Chemical Biology and Nucleic Acid Chemistry

                Genetics
                Genetics

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