Showing posts with label computational. Show all posts
Showing posts with label computational. Show all posts

Tuesday, May 8, 2018

Chemo- and Regioselective Lysine Modification on Native Proteins

Maria J. Matos, Bruno L. Oliveira, Nuria Martínez-Saez,  Ana Guerreiro, Pedro M. S. D. Cal,
Jean Bertoldo, María Maneiro, Elizabeth Perkins, Julie Howard, Michael J. Deery,
Justin M. Chalker, Francisco Corzana, Gonzalo Jimenez-Oses, and Goncalo J. L. Bernardes

J. Am. Chem. Soc., 2018, 140 (11), pp 4004–4017

Site-selective chemical conjugation of synthetic molecules to proteins expands their functional and therapeutic capacity. Current protein modification methods, based on synthetic and biochemical technologies, can achieve site selectivity, but these techniques often require extensive sequence engineering or are restricted to the N- or C-terminus. Here we show the computer-assisted design of sulfonyl acrylate reagents for the modification of a single lysine residue on native protein sequences. This feature of the designed sulfonyl acrylates, together with the innate and subtle reactivity differences conferred by the unique local microenvironment surrounding each lysine, contribute to the observed regioselectivity of the reaction. Moreover, this site selectivity was predicted computationally, where the lysine with the lowest pKa was the kinetically favored residue at slightly basic pH. Chemoselectivity was also observed as the reagent reacted preferentially at lysine, even in those cases when other nucleophilic residues such as cysteine were present. The reaction is fast and proceeds using a single molar equivalent of the sulfonyl acrylate reagent under biocompatible conditions (37 °C, pH 8.0). This technology was demonstrated by the quantitative and irreversible modification of five different proteins including the clinically used therapeutic antibody Trastuzumab without prior sequence engineering. Importantly, their native secondary structure and functionality is retained after the modification. This regioselective lysine modification method allows for further bioconjugation through aza-Michael addition to the acrylate electrophile that is generated by spontaneous elimination of methanesulfinic acid upon lysine labeling. We showed that a protein–antibody conjugate bearing a site-specifically installed fluorophore at lysine could be used for selective imaging of apoptotic cells and detection of Her2+ cells, respectively. This simple, robust method does not require genetic engineering and may be generally used for accessing diverse, well-defined protein conjugates for basic biology and therapeutic studies.

Tuesday, June 13, 2017

Covalent inhibitors design and discovery

Stephane De Cesco, Jerry Kurian, Caroline Dufresne, Anthony Mittermaier, Nicolas Moitessier

doi: 10.1016/j.ejmech.2017.06.019

Abstract 

In the history of therapeutics, covalent drugs occupy a very distinct category. While representing a significant fraction of the drugs on the market, very few have been deliberately designed to interact covalently with their biological target. In this review, the prevalence of covalent drugs will first be briefly covered, followed by an introduction to their mechanisms of action and more detailed discussions of their discovery and the development of safe and efficient covalent enzyme inhibitors. All stages of a drug discovery program will be covered, from target considerations to lead optimization, strategies to tune reactivity and computational methods. The goal of this article is to provide an overview of the field and to outline good practices that are needed for the proper assessment and development of covalent inhibition as well as good understanding of the potential and limitations of current computational methods for the design of covalent drugs.

Thursday, June 1, 2017

Modeling Covalent-Modifier Drugs


Ernest Awoonor-Williams, Andrew G. Walsh, Christopher N. Rowley

Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics

doi: 10.1016/j.bbapap.2017.05.009

In this review, we present a summary of how computer modeling has been used in the development of covalent modifier drugs. Covalent modifier drugs bind by forming a chemical bond with their target. This covalent binding can improve the selectivity of the drug for a target with complementary reactivity and result in increased binding affinities due to the strength of the covalent bond formed. In some cases, this results in irreversible inhibition of the target, but some targeted covalent inhibitor (TCI) drugs bind covalently but reversibly. Computer modeling is widely used in drug discovery, but different computational methods must be used to model covalent modifiers because of the chemical bonds formed. Structural and bioinformatic analysis has identified sites of modification that could yield selectivity for a chosen target. Docking methods, which are used to rank binding poses of large sets of inhibitors, have been augmented to support the formation of protein–ligand bonds and are now capable of predicting the binding pose of covalent modifiers accurately. The pKa’s of amino acids can be calculated in order to assess their reactivity towards electrophiles. QM/MM methods have been used to model the reaction mechanisms of covalent modification. The continued development of these tools will allow computation to aid in the development of new covalent modifier drugs.

An enantioselective covalent inhibitor of BAX confers cytoprotection in vivo

Peiwen Shi, Bruno Melillo, Matthew W. McHenry, Christina M. Camara, Ka Yang, Evert Njomen, Marina Godes, Maria F. Pazyra-Murphy, Mary Rose B...