primary sequence analysis
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2021 ◽  
pp. 12-16
Author(s):  
Sheikh Arslan Sehgal ◽  
Rana Adnan Tahir ◽  
Muhammad Waqas

Crystals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 170
Author(s):  
Sangeun Jeon ◽  
Jisub Hwang ◽  
Wanki Yoo ◽  
Joo Won Chang ◽  
Hackwon Do ◽  
...  

This report deals with the purification, characterization, and a preliminary crystallographic study of a novel cold-active esterase (HaEst1) from Halocynthiibacter arcticus. Primary sequence analysis reveals that HaEst1 has a catalytic serine in G-x-S-x-G motif. The recombinant HaEst1 was cloned, expressed, and purified. SDS-PAGE and zymographic analysis were carried out to characterize the properties of HaEst1. A single crystal of HaEst1 was obtained in a solution containing 10% (w/v) PEG 8000/8% ethylene glycol, 0.1 M Hepes-NaOH, pH 7.5. Diffraction data were collected to 2.10 Å resolution with P21 space group. The final Rmerge and Rp.i.m values were 7.6% and 3.5% for 50–2.10 Å resolution. The unit cell parameters were a = 35.69 Å, b = 91.21 Å, c = 79.15 Å, and β = 96.9°.


2020 ◽  
Author(s):  
Rachel St.Clair ◽  
Michael Teti ◽  
Mirjana Pavlovic ◽  
William Hahn ◽  
Elan Barenholtz

AbstractComputer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing fields that leverage existing datasets for developing compounds of interest. Computational proteomics utilizes algorithms and models to probe proteins for functional prediction. A potentially strong target for such a computational approach is autoimmune antibodies which are the result of broken tolerance in the immune system where it cannot distinguish “self” from “non-self” resulting in attack of its own structures (proteins and DNA, mainly). The information on structure, function and pathogenicity of autoantibodies may assist in engineering RVD against autoimmune diseases. Current computational approaches exploit large datasets curated with extensive domain knowledge, most of which include the need for many computational resources and have been applied indirectly to problems of interest for DNA, RNA, and monomer protein binding. Here, we present a novel method for discovering potential binding sites. We employed long short-term memory (LSTM) models trained on FASTA primary sequences directly to predict protein binding in DNA-binding hydrolytic antibodies (abzymes). We also employed CNN models applied to the same dataset. While the CNN model outperformed the LSTM on the primary task of binding prediction, analysis of internal model representations of both models showed that the LSTM models highlighted sub-sequences that were more strongly correlated with sites known to be involved in binding. These results demonstrate that analysis of internal processes of recurrent neural network models may serve as a powerful tool for primary sequence analysis.


2020 ◽  
Vol 86 (4) ◽  
pp. 711-719
Author(s):  
Shugo Watabe ◽  
Daisuke Ikeda ◽  
Takaki Mashiro ◽  
Yuko Kagetakubo ◽  
Yoshihiro Takahashi ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
pp. 14 ◽  
Author(s):  
Ramin Fazel ◽  
Yudong Guan ◽  
Behrouz Vaziri ◽  
Christoph Krisp ◽  
Laura Heikaus ◽  
...  

The demand for reliable comparability studies of biosimilars grows with their increased market share. These studies focus on physicochemical, structural, functional and clinical properties to ensure that a biosimilar has no significant differences to the originator product and can be released into the market without extensive clinical trials. In the current study, Enbrel® (etanercept, the originator) and Altebrel™ (the proposed biosimilar) underwent direct comparison. “Bottom-up” mass spectrometric analysis was used for primary sequence analysis, evaluation of N/O-glycosylation sites and quantification of methionine oxidation. N/O-glycans were analyzed after permethylation derivatization and the effect of N-glycans on in-vitro functionality of etanercept was assayed. Three enzyme peptide mapping resulted in complete identification of the primary structure. It was confirmed that total ion chromatograms are valuable datasets for the analysis of the primary structure of biodrugs. New N/O-glycan structures were identified and all the N-glycans were quantified. Finally, investigation of the functional properties of N-deglycosylated and non-modified etanercept samples using surface plasmon resonance analysis and in-vitro bioassay showed that N-glycosylation has no significant effect on its in-vitro functionality. Analysis of etanercept and its biosimilar, revealed a high similarity in terms of glycosylation, primary structure and in-vitro functionality.


2018 ◽  
Vol 43 (6) ◽  
pp. 651-661
Author(s):  
Xichao Xia ◽  
Yang Liu ◽  
Jianxin Huang ◽  
Xiaozhu Yu ◽  
Zhiguo Chen ◽  
...  

Abstract Aims In order to shed light of characterizations of centipede Scolopendra subspinipes mutilans venom, a two novel full-lengths of alpha-like-neurotoxin and one metalloproteinase cDNAs derived from the maxilllipeds RNA of centipede S. subspinipes mutilans were isolated, and, respectively, named as SsuTA1, SsuTA2 and SsuMPs. Materials and methods The SsuTA1, SsuTA2 and SsuMPs were cloned from the S. subspinipes mutilans using the rapid amplification of cDNA ends methods. Results In the current study, SsuTA1 and SsuTA2 were, respectively, composed of 82 amino acid residues and 106 amino acid residues. Deduced protein sequence of SsuTA1 shared high homology with that of SsuTA2, one major difference was the C-terminal 24-residue extension in SsuTA2. An abundance of cysteine residues and several adjacent beta-sheets were observed in SsuTA1 and SsuTA2. SsuMPs had 594 amino acid residues containing with a molecular mass of 68.29 kDa. The primary sequence analysis indicated that the SsuMPs contains a zinc-binding motif (HEIGHSLGLAHS) and methionine-turn motif (YIM). Phylogenetic analysis revealed early divergence and independent evolution of SsuTA1 and SsuTA2 from other α-neurotoxins. Conclusion The results suggested that centipede S. subspinipes mutilans is an ancient member of venomous arthropods, but its venom exhibits novel scenario.


2016 ◽  
Vol 7 ◽  
Author(s):  
Daniel Rodríguez-Leal ◽  
Amanda Castillo-Cobián ◽  
Isaac Rodríguez-Arévalo ◽  
Jean-Philippe Vielle-Calzada

2013 ◽  
Vol 42 (5) ◽  
pp. 3346-3361 ◽  
Author(s):  
Evan P. Booy ◽  
Ryan Howard ◽  
Oksana Marushchak ◽  
Emmanuel O. Ariyo ◽  
Markus Meier ◽  
...  

Abstract RNA Helicase associated with AU-rich element (RHAU) (DHX36) is a DEAH (Aspartic acid, Glumatic Acid, Alanine, Histidine)-box RNA helicase that can bind and unwind G4-quadruplexes in DNA and RNA. To detect novel RNA targets of RHAU, we performed an RNA co-immunoprecipitation screen and identified the PITX1 messenger RNA (mRNA) as specifically and highly enriched. PITX1 is a homeobox transcription factor with roles in both development and cancer. Primary sequence analysis identified three probable quadruplexes within the 3′-untranslated region of the PITX1 mRNA. Each of these sequences, when isolated, forms stable quadruplex structures that interact with RHAU. We provide evidence that these quadruplexes exist in the endogenous mRNA; however, we discovered that RHAU is tethered to the mRNA via an alternative non–quadruplex-forming region. RHAU knockdown by small interfering RNA results in significant increases in PITX1 protein levels with only marginal changes in mRNA, suggesting a role for RHAU in translational regulation. Involvement of components of the microRNA machinery is supported by similar and non-additive increases in PITX1 protein expression on Dicer and combined RHAU/Dicer knockdown. We also demonstrate a requirement of argonaute-2, a key RNA-induced silencing complex component, to mediate RHAU-dependent changes in PITX1 protein levels. These results demonstrate a novel role for RHAU in microRNA-mediated translational regulation at a quadruplex-containing 3′-untranslated region.


2010 ◽  
Vol 77 (2) ◽  
pp. 650-656 ◽  
Author(s):  
William T. Beeson ◽  
Anthony T. Iavarone ◽  
Corinne D. Hausmann ◽  
Jamie H. D. Cate ◽  
Michael A. Marletta

ABSTRACTFungi secrete many different enzymes to deconstruct lignocellulosic biomass, including several families of hydrolases, oxidative enzymes, and many uncharacterized proteins. Here we describe the isolation, characterization, and primary sequence analysis of an extracellular aldonolactonase from the thermophilic fungusMyceliophthora thermophila(synonymSporotrichum thermophile). The lactonase is a 48-kDa glycoprotein with a broad pH optimum. The enzyme catalyzes the hydrolysis of glucono-δ-lactone and cellobiono-δ-lactone with an apparent second-order rate constant,kcat/Km, of ∼1 × 106M−1s−1at pH 5.0 and 25°C but is unable to hydrolyze xylono-γ-lactone or arabino-γ-lactone. Sequence analyses of the lactonase show that it has distant homology tocis-carboxy-muconate lactonizing enzymes (CMLE) as well as 6-phosphogluconolactonases present in some bacteria. TheM. thermophilagenome contains two predicted extracellular lactonase genes, and expression of both genes is induced by the presence of pure cellulose. Homologues of theM. thermophilalactonase, which are also predicted to be extracellular, are present in nearly all known cellulolytic ascomycetes.


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