82 research outputs found
Free energy landscape and characteristic forces for the initiation of DNA unzipping
DNA unzipping, the separation of its double helix into single strands, is
crucial in modulating a host of genetic processes. Although the large-scale
separation of double-stranded DNA has been studied with a variety of
theoretical and experimental techniques, the minute details of the very first
steps of unzipping are still unclear. Here, we use atomistic molecular dynamics
(MD) simulations, coarse-grained simulations and a statistical-mechanical model
to study the initiation of DNA unzipping by an external force. The calculation
of the potential of mean force profiles for the initial separation of the first
few terminal base pairs in a DNA oligomer reveal that forces ranging between
130 and 230 pN are needed to disrupt the first base pair, values of an order of
magnitude larger than those needed to disrupt base pairs in partially unzipped
DNA. The force peak has an "echo," of approximately 50 pN, at the distance that
unzips the second base pair. We show that the high peak needed to initiate
unzipping derives from a free energy basin that is distinct from the basins of
subsequent base pairs because of entropic contributions and we highlight the
microscopic origin of the peak. Our results suggest a new window of exploration
for single molecule experiments.Comment: 25 pages, 6 figures , Accepted for publication in Biophysical Journa
Mixed Quantum Mechanical/Molecular Mechanical Molecular Dynamics Simulations of Biological Systems in Ground and Electronically Excited States
The current state of the art of Quantum Mechanical/molecular mechanical (QM/MM) molecular dynamics approaches in ground and electronically excited states and their applications to biological problems is reviewed. For a complete description of quantum phenomena, the quantum nature of both electrons and nuclei has to be taken into account. Most of the current QM/MM applications are based on adiabatic dynamics in the electronic ground state. However, for dynamics in electronically excited states, the coupling between states, which is mediated via the nuclear motion, can be sizable, and nonadiabatic effects have to be taken into account. Configuration Interaction Singles (CIS) is a popular method in QM/MM applications due to its computational expedience that allows for the treatment of several hundred atoms. Since the 1990s, the Modified Neglect of Differential Overlap (MNDO) method has been further extended to a d orbital basis. This MNDO/d extension allows for the treatment of heavier elements. By using feature selection algorithms348 to identify the most appropriate subset of relevant variables that describe a certain phenomenon, the high-dimensionality of QM/MM data can be reduced and used for further analysis with causal inference algorithms to establish unique cause-effect relationships
A Mechanochemical Switch to Control Radical Intermediates
B12-dependent enzymes
employ radical species with exceptional
prowess to catalyze some of the most chemically challenging, thermodynamically
unfavorable reactions. However, dealing with highly reactive intermediates
is an extremely demanding task, requiring sophisticated control strategies
to prevent unwanted side reactions. Using hybrid quantum mechanical/molecular
mechanical simulations, we follow the full catalytic cycle of an AdoB12-dependent enzyme and present the details of a mechanism
that utilizes a highly effective mechanochemical switch. When the
switch is âoffâ, the 5âČ-deoxyadenosyl radical
moiety is stabilized by releasing the internal strain of an enzyme-imposed
conformation. Turning the switch âon,â the enzyme environment
becomes the driving force to impose a distinct conformation of the
5âČ-deoxyadenosyl radical to avoid deleterious radical transfer.
This mechanochemical switch illustrates the elaborate way in which
enzymes attain selectivity of extremely chemically challenging reactions
Genetic-Algorithm-Based Optimization of a Peptidic Scaffold for Sequestration and Hydration of CO
Biomimicry is a strategy that makes practical use of evolution to find efficient and sustainable ways to produce chemical compounds or engineer products. Exploring the natural machinery of enzymes for the production of desired compounds is a highly profitable investment, but the design of efficient biomimetic systems remains a considerable challenge. An ideal biomimetic system self-assembles in solution, binds a desired range of substrates and catalyzes reactions with turnover rates similar to the native system. To this end, tailoring catalytic functionality in engineered peptides generally requires site-directed mutagenesis or the insertion of additional amino acids, which entails an intensive search across chemical and sequence space. Here we discuss a novel strategy for the computational design of biomimetic compounds and processes that consists of a) characterization of the wild-type and biomimetic systems; b) identification of key descriptors for optimization; c) an efficient search through sequence and chemical space to tailor the catalytic capabilities of the biomimetic system. Through this proof-of-principle study, we are able to decisively understand and identify whether a given scaffold is useful, appropriate and tailorable for a given, desired task
Directed evolution of the suicide protein Oâ¶-alkylguanine-DNA alkyltransferase for increased reactivity results in an alkylated protein with exceptional stability
Here we present a biophysical, structural, and computational analysis of the directed evolution of the human DNA repair protein O-6-alkylguanine-DNA alkyltransferase (hAGT) into SNAP-tag, a self-labeling protein tag. Evolution of hAGT led not only to increased protein activity but also to that the reactivity of the suicide enzyme can be influenced by higher stability, especially of the alkylated protein, suggesting stabilizing the product of the irreversible reaction. Whereas wild-type hAGT is rapidly degraded in cells after alkyl transfer, the high stability of benzylated SNAP-tag prevents proteolytic degradation. Our data indicate that the intrinstic stability of a key a helix is an important factor in triggering the unfolding and degradation of wild-type hAGT upon alkyl transfer, providing new insights into the structure-function relationship of the DNA repair protein
Evolution of gene knockout strains of <i>E-coli</i> reveal regulatory architectures governed by metabolism
The function of metabolic genes in the context of regulatory networks is not well understood. Here, the authors investigate the adaptive responses of E. coli after knockout of metabolic genes and highlight the influence of metabolite levels in the evolution of regulatory function
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