Development of a spin-label model system for investigation of protein oligomerization states

The transmembrane domains of viral proteins are highly conserved and crucial to normal viral function. Oligomeric transmembrane domains present novel opportunities for drug development, as their disruption can prevent the assembly of the virus. The Reichart lab is particularly interested in developing retro-inverso peptide inhibitors. Retro-inverso peptides are peptides using D-amino acids mirroring a region of target protein, which allows the peptide to inhibit viral assembly, but they are also significantly less likely to be catabolized by natural metabolic or immunologic processes. The efficacy of these inhibitors is governed largely by the extent to which they mirror the target protein, making highly conserved regions, such as transmembrane domains, ideal target regions for these inhibitors. The primary technique in the literature for the investigation of oligomerization states uses fluorescence spectroscopy. We are now working on developing a novel alternative system to evaluate protein oligomerization using spin-labeled peptides that are directly incorporated into the peptide sequence. Direct incorporation of the spin-label into the peptide sequence is a more powerful technique than the standard procedures used in the literature. In particular, the ability to incorporate spin labels in various positions within the protein can give novel insights into the relative depth of the protein within a membrane, which is very difficult to study using other techniques and not possible using the fluorescence technique. The transmembrane domains of proteins with known and well-characterized monomer and trimer standard oligomerization states were synthesized using an Fmoc Solid- Phase Peptide Synthesis (SPPS) procedure incorporating an Fmoc-2,2,6,6-tetramethyl-N-oxyl-4-amino-4-carboxylic acid, (Fmoc-TOAC) instead of an alanine. Direct incorporation of stable N-oxide spin labels, which can be contrasted to labeling cysteine residues after the protein synthesis, has been used for the investigation of the secondary structure of proteins for decades, but the application of this spin labeling technique to study the oligomerization states of transmembrane domains of proteins is an understudied application. The products of SPPS were analyzed using a Liquid Chromatography Mass Spectroscopy instrument and purified using High Performance Liquid Chromatography. The spin-label was then deprotected and evaluated using Electron Spin Resonance (ESR) Spectroscopy. There are two primary future directions following this research project: first, the generation of viral proteins with spin labels incorporated in different positions to determine the relative depth of each position within the membrane;second, the incorporation of spin labels into SARS-CoV- 2 proteins to develop a model for in vitro evaluation of retro-inverso peptide assembly inhibitors. -Hampden-Sydney College Office of Undergraduate Research.Copyright © 2023 The American Society for Biochemistry and Molecular Biology, Inc.

Clinical, Biochemical, and ATR-FTIR Spectroscopic Parameters Associated with Death or Survival in Patients with Severe COVID-19

The wide range of symptoms of the coronavirus disease 2019 (COVID-19) makes it challenging to predict the disease evolution using a single parameter. Therefore, to describe the pathophysiological response to SARS-CoV-2 infection in hospitalized patients with severe COVID-19, we compared according to survival or death, the sociodemographic and clinical characteristics, the biochemical and immunological attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectra from saliva samples and their correlation with chemometric findings. Herein, we demonstrate that ATR-FTIR spectroscopy allows the description of the events related to cell damage, such as lipids biogenesis and the secondary structure of proteins associated with lactate dehydrogenase and albumin levels. Moreover, humoral (IgM) and cellular (IFN-gamma, TNF-alpha, IL-10, and IL-6) responses were also increased in patients who died from COVID-19. Copyright © 2023 Adriana Martinez-Cuazitl et al.

Computational tools for aptamer identification and optimization

Aptamers are single-stranded DNA or RNA oligonucleotides that can selectively bind to a specific target. They are generally obtained by SELEX, but the procedure is challenging and time-consuming. Moreover, the identified aptamers tend to be insufficient in stability, specificity, and affinity. Thus, only a handful of aptamers have entered the practical use stage. Recently, computational approaches have demonstrated a significant capacity to assist in the discovery of high-performance aptamers. This review discusses the advances achieved in several aspects of computational tools in this field, as well as the new progress in machine learning and deep learning, which are used in aptamer identification and optimization. To illustrate these computationally aided processes, aptamer selections against SARS-CoV-2 are discussed in detail as a case study. We hope that this review will aid and motivate researchers to develop and utilize more computational techniques to discover ideal aptamers effectively. Copyright © 2022 Elsevier B.V.

Preparation of the Monoclonal Antibody against the African Swine Fever Virus p54 Protein and Identification of the Antigenic Epitope.

The aim of this paper was to prepare specific monoclonal antibody (mAb) against African swine fever virus (ASFV) p54 protein. The p54 protein was expressed in Escherichia coli expression system and used as the antigen in mAb production. The spleen cells from the immunized BALB/c mice were fused with myeloma cells SP2/0. To screen the positive hybridoma cells, the purified p54 protein was used as envelope antigen for indirect ELISA. After four times' subcloning, the supernatant of hybridoma cells were used to identify mAb subtype, ascites were prepared via in vivo induction method in mice and then the mAb was purified. The titer of the mAb was detected by indirect ELISA, and the specificity of the mAb was identified by cross reactivity assay, IFA and Western blot. According to the predicted secondary structure of p54 protein, using the stepwise truncation method identified the epitope region of mAbs, and labeled the region in tertiary structure of p54 protein. Results were as follows: six hybridoma cells secreting p54 monoclonal antibody were successfully screened and named 28G12-1, 31G7-1, 31G7-2, 35F10-1, 35F10-2, 38D3-1, respectively. The heavy chains of 28G12-1, 31G7-1, and 31G7-2 were IgG2a type, the heavy chains of 35F10-1, 35F10-2, 38D3-1 were IgG1 type, light chains were all kappa chains. The lowest titer of mAb was 1:25 600, and having no cross reaction with PRRSV, PRV, PEDV, PPV, SADS-CoV, PCV2, the specificity was strong. All six monoclonal antibodies could recognize the 127-146 aa on carboxyl end. In this study, ASFV p54 protein and p54 monoclonal antibody were successfully obtained, and the epitopes of six mAbs were identified, these experimental data laid a foundation for the functional research of p54 protein and the study of ASFV epitope vaccine. Copyright © 2023 Editorial Board, Institute of Animal Science of the Chinese Academy of Agricultural Sciences. All rights reserved.

Design, production and characterization of antiviral proteins targeting SARS-CoV-2

The virus responsible for the current COVID -19 pandemic is SARS-CoV-2, which has caused >400 million infections and >5 million deaths (as of February 2022). Despite vaccination efforts, there is still an urgent need to develop strategies to control infection and treat patients. One of the proteins bound to the viral membrane is the spike (S) protein, which consists of two subunits: S1, which contains a receptor-binding domain (RBD) responsible for binding to the host cell receptor, and S2, which facilitates membrane fusion between the viral and host cell membranes, previously published in: Jackson CB et al. (2018) Nat Rev Mol Cell Biol 23, 3-20. Thus, this protein is primarily responsible for the ability of the virus to enter host cells, making it one of the most promising therapeutic targets of coronavirus, previously published in: Cao L et al. (2020) Science 6515, 426- 431. The aim of this work was to design and produce antiviral proteins that could prevent the interaction between the two proteins and thus block infection by binding to the RBD region and blocking its interaction with the host receptor, angiotensin converting enzyme-2 (ACE2) protein. First, several antiviral proteins were computationally designed using the Rosetta program based on the interactions between ACE2 and the RBD. Next, six molecular dynamics simulations (MD) of 1 ls of three candidates were performed to test their interaction with the RBD. This was followed by experimental validation after expression and purification of the three candidates. The secondary structure and thermostability of these proteins were tested by far-UV circular dichroism spectropolarimetry. Surface plasmon resonance was used to evaluate the affinity of each candidate for RBD. Neutralization assays were performed to investigate the neutralization ability of the proteins. The experimental results show that one of the developed proteins is a promising therapeutic approach that will be further improved in the future.

The impacts of 13 novel mutations of SARS-CoV-2 on protein dynamics: In silico analysis from Turkey

SARS-CoV-2 inherits a high rate of mutations making it better suited to the host since its fundamental role in evolution is to provide diversity into the genome. This research aims to identify variations in Turkish isolates and predict their impacts on proteins. To identify novel variations and predict their impacts on protein dynamics, in silico methodology was used. The 411 sequences from Turkey were analysed. Secondary structure prediction by Garnier-Osguthorpe-Robson (GOR) was used. To find the effects of identified Spike mutations on protein dynamics, the SARS-CoV-2 structures (PDB:6VYB, 6M0J) were uploaded and predicted by Cutoff Scanning Matrix (mCSM), DynaMut and MutaBind2. To understand the effects of these mutations on Spike protein molecular dynamics (MD) simulation was employed. Turkish sequences were aligned with sequences worldwide by MUSCLE, and phylogenetic analysis was performed via MegaX. The 13 novel mutations were identified, and six of them belong to spike glycoprotein. Ten of these variations revealed alteration in the secondary structure of the protein. Differences of free energy between the reference sequence and six mutants were found below zero for each of six isolates, demonstrating these variations have stabilizing effects on protein structure. Differences in vibrational entropy calculation revealed that three variants have rigidification, while the other three have a flexibility effect. MD simulation revealed that point mutations in spike glycoprotein and RBD:ACE-2 complex cause changes in protein dynamics compared to the wild-type, suggesting possible alterations in binding affinity. The phylogenetic analysis showed Turkish sequences distributed throughout the tree, revealing multiple entrances to Turkey.