Ewa I ChudykVertex Pharmaceuticals
Ewa I Chudyk
PhD
About
21
Publications
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Introduction
Additional affiliations
October 2013 - July 2014
November 2013 - present
October 2009 - September 2013
Publications
Publications (21)
Absolute binding free energy (ABFE) calculations are finding increasing use within drug discovery programs, particularly as they can be performed on very different ligand scaffolds and direct comparisons made between them. They also have the potential to provide a route to target selectivity prediction. To date, most work has focused on soluble pro...
β-lactam antibiotic resistance in Gram-negative bacteria, primarily caused by β-lactamase enzymes that hydrolyze the β-lactam ring, has become a serious clinical problem. Carbapenems were formerly considered "last resort" antibiotics because they escaped breakdown by most β-lactamases, due to slow deacylation of the acyl-enzyme intermediate. Howeve...
β-lactam antibiotic resistance in Gram-negative bacteria, primarily caused by β-lactamase enzymes that hydrolyze the β-lactam ring, has become a serious clinical problem. Carbapenems were formerly considered ‘last resort’ antibiotics because they escaped breakdown by most β-lactamases, due to slow deacylation of the acyl-enzyme intermediate. Howeve...
Class A β-lactamases cause clinically relevant resistance to β-lactam antibiotics. Carbapenem degradation is a particular concern. We present an efficient QM/MM molecular simulation protocol that accurately predicts the activity of β-lactamases against carbapenems. Simulations take <24 CPU hours, a >99% reduction, and do not require fitting against...
div>Breakdown of β-lactam antibiotics by β-lactamases is one of the most common resistance mechanisms against these drugs. Here, we present a computationally efficient combined quantum mechanics/molecular mechanics simulation protocol for hydrolysis of the β-lactamase acylenzyme with meropenem, a carbapenem antibiotic. Starting from the previously...
In recent years there has been a paradigm shift in how data is being used to progress early drug discovery campaigns from hit identification to candidate selection. Significant developments in data mining methods and the accessibility of tools for research scientists have been instrumental in reducing drug discovery timelines and in increasing the...
There are countless reports citing the importance of diversity in the academic, industrial and government workplace (1, 2). But to achieve this goal, diverse role models need to have impact early in the education of young people encouraged and attracted to STEM-related studies.
The understanding of binding interactions between any protein and a small molecule plays a key role in the rationalization of affinity and selectivity. It is essential for an efficient structure-based drug design (SBDD) process. FMO enables ab initio approaches to be applied to systems that conventional quantum-mechanical (QM) methods would find ch...
The understanding of binding interactions between any protein and a small molecule plays a key role in the rationalization of affinity and selectivity and is essential for an efficient structure-based drug discovery (SBDD) process. Clearly, to begin SBDD, a structure is needed, and although there has been fantastic progress in solving G-protein-cou...
Inhibition of the non-receptor tyrosine kinase ITK may represent a novel treatment for allergic asthma. In our previous reports we described the discovery of sulfonylpyridine (SAP), benzothiazole (BZT), indazole (IND), and tetrahydroindazole (THI) series as novel ITK inhibitors, and how computational tools such as dihedral scans and docking were us...
Our interpretation of ligand-protein interactions is often informed by high-resolution structures, which represent the cornerstone of structure-based drug design. However, visual inspection and molecular mechanics ap-proaches cannot explain the full complexity of molecular interactions. Quantum Mechanics approaches are often too computationally exp...
Computational methods play a pivotal role in the early stages of small molecule drug discovery and are widely applied in virtual screening, structure optimization, and compound activity profiling. Over the past half century in medicinal chemistry, almost all the attention has been directed to protein–ligand binding and computational tools were crea...
The study of molecular behavior at high levels of theoretical accuracy has entered into a new age in computational drug discovery where quantum mechanical (QM) methods are becoming increasingly popular. Theoretically rigorous calculations can be prohibitively computationally expensive and time consuming. These two factors have necessitated the deve...
Carbapenems, ‘last resort’ antibiotics for many bacterial infections, can now be broken down by several class A β-lactamases (i.e. carbapenemases). Here, carbapenemase activity is predicted through QM/MM dynamics simulations of acyl-enzyme deacylation, requiring only the 3D structure of the apo-enzyme. This may assist in anticipating resistance and...
Fatty acid amide hydrolase (FAAH) is a member of the amidase signature family, and is responsible for the hydrolytic deactivation of fatty acid amide neuromodulators, such as anandamide. FAAH carries an unusual catalytic triad consisting of Lys-Ser-Ser, which uniquely enables the enzyme to cleave amides and esters at similar rates. The acylation of...
Carbapenems are the most potent β-lactam antibiotics and key drugs for treating infections by Gram-negative bacteria. In such organisms, β-lactam resistance arises principally from β-lactamase production. Although carbapenems escape the activity of most β-lactamases, due in the class A enzymes to slow deacylation of the covalent acylenzyme intermed...
QM/MM modelling of FAAH inactivation by O-biphenyl-3-yl carbamates identifies the deprotonation of Ser241 as the key reaction step, explaining why FAAH is insensitive to the electron-donor effect of conjugated substituents; this may aid design of new inhibitors with improved selectivity and in vivo potency.
Self-consistent charge density functional tight binding (SCC-DFTB) is a promising method for hybrid quantum mechanics/molecular mechanics (QM/MM) simulations of enzyme-catalyzed reactions. The acylation reaction of fatty acid amide hydrolase (FAAH), a promising drug target, was investigated by applying a SCC-DFTB/CHARMM27 scheme. Calculated potenti...