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Discovery & Development
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3D-QSAR Three-Dimensional Quantitative Structure-Activity Relationships:
Involves the analysis of the quantitative relationship between the
biological activity of a set of compounds and their three- dimensional properties
using statistical correlation methods. IUPAC Computational Broader terms: QSAR;
SAR Structure Activity
Relationship Cheminformatics
ab initio:
From the Latin: from the beginning. In modeling seems
to refer to models devised without experimental data.
ab initio
calculations:
Quantum chemical calculations
using exact equations with no approximations which involve the whole
electronic population of the molecule. [IUPAC Computational]
ab initio
molecular dynamics:
The Parrinello group has applied ab initio Molecular Dynamics
(MD) in which all forces were computed quantum- chemically to chemical reactions
in general and to biological systems in particular, with results that compared
favorably with experiment and older force field methods. The ab initio
method was found to be of ``useful accuracy'' for simulations of biomolecules
... With a 1000 times faster computer (relative
to 32 processors on a Cray T3E) the dynamics of a quantum- chemical system
consisting of up to 10 atoms could be simulated for 10 s. Opportunities in Molecular Biomedicine in the Era of Teraflop
Computing: Report on a Meeting Held March 3 & 4, 1999 in Rockville,
MD, Organized by the NIH Resource for Macromolecular Modeling and Bioinformatics
Beckman Institute for Advanced Science and Technology, University of Illinois
at Urbana- Champaign
Molecular Biomedicine in the Era of Teraflop Computing - DDDAS.org
chemical informatics:
To a certain extent, chemical informatics is the chemical counterpart of
bioinformatics, but the term is considerably broader in its scope of activities
in chemistry.� Chemical
informatics is the application to chemistry of computer technology in all of its
manifestations.� Variously
known as chemoinformatics, cheminformatics, or even chemiinformatics, the field
is just beginning to be recognized as a subdiscipline of chemistry. Gary
Wiggins, Indiana University
https://scholarworks.iu.edu/dspace/bitstream/handle/2022/16966/CI_what_is_chemical_informatics_SLA.htm?sequence=1
chemical information:
Many people view chemoinformatics as an
extension of chemical information, which is a well established concept covering
many areas that employ chemical structures, data storage and computational
methods, such as compound registration databases, on- line chemical literature, SAR
analysis and molecule- property calculation. Timothy Ritchie
"Chemoinformatics; manipulating chemical information to facilitate
decision- making in drug discovery" Drug Discovery Today 6(16): 813-814,
Aug. 2001
chemical information system:
Must
include registration, computed and measured properties, chemical descriptors
and inventory. The primary purpose is to be able to identify a chemical
substance, find compounds similar to the target compound and determine
the location of the compound. To effectively build it, an object definition
of the chemical sample is paramount…The hub [central database] of the chemical
information system is the inventory system. Frank Brown "Chemoinformatics:
What is it and How does it Impact Drug Discovery" Annual Reports in Medicinal
Chemistry 33: 375-384, 1998
cheminformatics:
Use of
mathematical and statistical methods to extract information from chemical
data.
Note: For screening purposes,
cheminformatics approaches are used in order to design compound libraries
for general screening or for screening against a specific target class.
Cheminformatics is also used to cluster active molecules based on chemical
similarity, which aids in the analysis of screening data. IUPAC
Biomolecular Screening
The practice of finding the
"best- fitting" compounds to address particular targets. The field
encompasses diversity analysis and library design, virtual screening,
rational
drug design, and tools and approaches for predicting activity and other
properties from structure.
Going
by the numbers in Google.com cheminformatics seems to
be the currently most used form of this word, overtaking chemoinformatics. See the Glossary
FAQ question #3 for details and methodology.
Related terms:
Drug
discovery & development,
Drug
discovery informatics
chemodescriptors:
Hawkins DM, Basak SC, Kraker J, Geiss KT, Witzmann FA, Combining
Chemodescriptors and Biodescriptors in Quantitative Structure-Activity
Relationship Modeling, J Chem Inf Model. 46(1): 9-16, Jan 23, 2006
chemoinformatics:
The focus [of chemoinformatics] is placed on four traditional
research areas: chemical database systems, computer-assisted structure
elucidation systems, computer-assisted synthesis design systems, and 3D
structure builders. WL Chen, Chemoinformatics:
past, present, and future. Journal of Chemical Information Model, 46(6):
2230-2255, Nov 2006
Chemoinformatics is an integral part of the discipline of knowledge
management. Nicholas J. Hrib, Norton P. Peet "Chemoinformatics: are we
exploiting these new science?" Drug Discovery Today 5 (11): 483- 485, Nov.
2001
Increasingly incorporates "compound registration
into databases, including library enumeration; access to primary and secondary
scientific literature; QSAR Quantitative Structure Activity Relationships)
and similar tools for relating activity to structure; physical and chemical
property calculations; chemical structure and property databases, chemical
library design and analysis; structure- based design and statistical methods.
Because these techniques have traditionally been considered the realms
of scientists from different disciplines, differences in computer systems
and terminology provide a barrier to effective communication. This is probably
the single most challenging problem that chemoinformatics must solve. M
Hann and R Green "Chemoinformatics – a new name for an old problem?" Current
Opinion in Chemical Biology 3:379- 383, 1999
An emerging area, which annotates small
molecules and also libraries with structure – function, synthesis, and all
other relevant data used to design and develop better drugs. "Combinatorial
Chemistry" Nature Biotechnology 18: Supplement Oct. 2000, from Nature
Biotechnology 16, 691– 693, 1998
Mixing of information technology and management
to transform data into information and information into knowledge for the
intended purpose of making better decisions faster in the arena of drug
lead identification and optimization. ..In Chemoinformatics there are really
only two [primary] questions: 1.) what to test next and 2.) what to make
next. The main processes within drug discovery are lead identification,
where a lead is something that has activity in the low micromolar range,
and lead optimization, which is the process of transforming
a lead into a drug candidate. Frank Brown "Chemoinformatics: What
is it and How does it Impact Drug Discovery" Annual Reports in Medicinal
Chemistry 33: 375-384, 1998 Related terms:
cheminformatics,
chemi-informatics, chemometrics, computational chemistry.
chemometrics: The application of
statistics to the analysis of chemical data (from organic, analytical or
medicinal chemistry) and design of chemical experiments and simulations. IUPAC
Computational
The science of relating measurements made on a chemical system
or process to the state of the system via application of mathematical or
statistical methods. International Society of Chemometrics "ISC symbol and
definition of chemometrics" 1997 Wikipedia chemometrics http://en.wikipedia.org/wiki/Chemometrics
Related terms:
Drug
discovery informatics 3D-QSAR, comparative molecular field analysis
(CoMFA,
QSAR ),
ClogP values
ClogP values:
Calculated 1-octanol/ water partition coefficients,
frequently used in Structure-Property Correlation (SPC)
or
quantitative structure-activity relationship (QSAR) studies
(Leo, 1993). IUPAC Computational
Logarithm of the partition coefficient.
CML Chemical Markup Language:
Wikipedia http://en.wikipedia.org/wiki/Chemical_Markup_Language
Comparative Molecular Field Analysis CoMFA:
A 3D-QSAR
method that uses statistical correlation techniques for the analysis of the
quantitative relationship between the biological activity of a set of compounds
with a specified alignment, and their three-dimensional electronic and steric
properties. Other properties such as hydrophobicity and hydrogen bonding can
also be incorporated into the analysis. (See also Three-dimensional
Quantitative Structure-Activity Relationship [3D-QSAR]). IUPAC
Medicinal Chemistry
Uses statistical correlation techniques for the analysis of the quantitative
relationship between the biological activity of a set of compounds with
a specified alignment, and their three- dimensional electronic and steric
properties. Other properties, such as hydrophobicity and H-bonding
can also be incorporated into the analysis (Cramer et al., 1988; Kubinyi,
1993b). IUPAC Computational Narrower term: topomeric CoMFA
computational chemistry:
A discipline
using mathematical methods for the calculation of molecular properties
or for the simulation of molecular behavior. It also includes, e.g.,
synthesis planning, database searching, combinatorial library manipulation
(Hopfinger, 1981; Ugi et al., 1990). IUPAC Computational
Computational
chemistry seeks to predict quantitatively molecular and biomolecular
structures, properties, and reactivity by computational methods alone. It uses
modern chemical theory to predict the speed of unknown reactions and the
synthetic sequences by which complex new molecules can be made most
efficiently. Computational chemistry allows chemists to explore how things
work at the atomic and molecular levels and to draw conclusions that are
impossible to reach by experimentation alone. Thus, computational chemistry
supplements experimentally derived data. Gary D. Wiggins, "What is Chemical
Informatics?" Indiana Univ., US, 2006
Related terms:
Drug
discovery informatics Computer Aided Molecular Design CAMD, molecular graphics computational modeling: See ab initio modeling, homology
modeling, molecular modeling.
computational quantum chemistry:
is primarily concerned with the numerical computation of molecular
electronic structures by ab initio and semi-empirical techniques.
Overview of computational chemistry Shodor Educational Foundation 2999-2000 http://www.shodor.org/chemviz/overview/ccbasics.html
Computer Aided Molecular Design (CAMD): Involves all computer-assisted
techniques used to discover, design and optimize compounds with desired
structure and properties. IUPAC Combinatorial
Also known as molecular modeling or computational chemistry,
uses computers to analyze and model the physicochemical properties of a
molecule. CAMD programs allow integrated molecular design to take drug
discovery to a new level by using a more cross-functional team approach
to drug research and development. Oxford Molecular
Computer-Assisted Molecular Design CAMD:
Involves all computer-assisted
techniques used to discover, design and optimize compounds with desired
structure and properties. IUPAC Computational
Computer-Assisted Molecular Modeling
CAMM: The investigation
of molecular structures and properties using computational chemistry and
graphical visualization techniques. IUPAC Computational
conformational analysis:
Consists of the exploration of energetically
favorable spatial arrangements (shapes) of a molecule (conformations) using
molecular mechanics, molecular dynamics, quantum chemical
calculations or analysis of experimentally- determined structural
data, e.g., NMR or crystal structures.
Molecular mechanics and quantum chemical methods are employed to compute
conformational energies, whereas systematic and random searches,
Monte
Carlo, molecular dynamics, and distance geometry are methods
(often combined with energy minimization procedures) used to explore the
conformational space. IUPAC Computational
drug
design:
Drug
discovery informatics
factorial design FD:
An experimental design technique in which each
variable (factor or descriptor) is investigated at fixed levels.
In a two- level FD, each variable can take two values, e.g., high and low
lipophilicity. IUPAC Computational
force field:
A set of functions and parametrization used in molecular
mechanics calculations. IUPAC Computational
Long-time simulations will pose a challenging benchmark for the force
fields employed in molecular modeling. One question is, how will proteins
and DNA that were described by the available force fields (and remained
stable over nanosecond periods) behave in microsecond simulations? The
high cost of long- time simulations will require that the issue is addressed
in a systematic way by providing standard cases against which simulations
can be tested Opportunities in Molecular Biomedicine in the Era of Teraflop
Computing: March 3 & 4, 1999, Rockville, MD, NIH Resource for Macromolecular
Modeling and Bioinformatics Beckman Institute for Advanced Science
and Technology, University of Illinois at Urbana- Champaign Related term: van der
Waals
Immersive Virtual Reality
IVR: New futuristic technique [which]
enables the user to literally become a part of his or her data and to use
additional senses. Although IVR has not yet enjoyed widespread use in scientific
disciplines, it has been cost- effective in architectural design. Nicholas J.
Hrib, Norton P. Peet "Chemoinformatics: are we exploiting these new
science?" Drug Discovery Today 5 (11): 483-485, Nov. 2000
InChI:
IUPAC International
Chemical Identifier http://www.iupac.org/publications/ci/2006/2806/4_tools.html
Lipinski’s rules of five: See rules
of five
lipophilicity:
Represents the affinity
of a molecule or a moiety for a lipophilic environment. It is commonly measured
by its distribution behaviour in a biphasic system, either liquid- liquid (e.g.,
partition coefficient in octan-1-ol/water) or solid/liquid (retention on
reversed- phase high performance liquid chromatography (RP-HPLC) or thin- layer
chromatography (TLC) system). (See also Hydrophobicity).
IUPAC Medicinal Chem
molecular design:
The application of all techniques leading to
the discovery of new chemical entities with specific
properties required for the intended application. IUPAC Compendium Related terms:
drug design, ligand design, rational drug design.
molecular dynamics: A simulation procedure consisting of the
computation of the motion of atoms in a molecule or of individual
atoms or molecules in solids, liquids and gases, according to Newton's
laws of motion. The forces acting on the atoms, required to simulate their
motions, are generally calculated using molecular mechanics force
fields. IUPAC Computational Narrower term: ab initio molecular dynamics
molecular dynamics
simulation: A computer simulation developed to study the motion of molecules
over a period of time. MeSH 2010
molecular geometry:
http://www.ics.uci.edu/~eppstein/gina/molmod.html
molecular graphics:
A technique for the visualization
and manipulation of molecules on a graphical display device. IUPAC Computational
molecular mechanics:
The calculation of molecular conformational
geometries and energies using a combination of empirical force fields (Burkert
and Allinger, 1982).
Method of calculation of geometrical and energy characteristics
of molecular entities on the basis of empirical potential functions
(see force field) the form of which is taken from classical
mechanics. The method implies transferability of the potential functions
within a network of similar molecules. An assumption is made on "natural”
bond lengths and angles, deviations from which result in bond and angle
strain respectively. Repulsive or attractive van der Waals and electrostatic
forces between nonbonded atoms are also taken into account. Synonymous
with force field method. IUPAC Computational Related terms: energy function, force fields
molecular modeling, molecular modelling:
A technique for the investigation of molecular
structures and properties using computational chemistry and graphical
visualization techniques in order to provide a plausible three- dimensional
representation under a given set of circumstances. IUPAC Medicinal
Chemistry, IUPAC Computational Molecular modeling applications use falls into two broad categories:
interactive visualization and computational analyses. ... Three of the most prominent uses of modern molecular
modeling applications are structure analysis, homology modeling,
and docking ... in essence, objective modeling revolves around three
different approaches (each based on different underlying physical and chemical
theories): molecular dynamics, molecular mechanics, and quantum
mechanics . All of these are concerned with developing a
unique solution to what is referred to as the "protein folding" problem
- designing and testing algorithms and applications that will reliably
predict 3-D structure from primary sequence. Christopher Smith "Molecular
Modeling - Seeing the Whole Picture with Modeling Software Packages" Scientist
12[17]:0, Aug. 31, 1998
Molecular modeling software includes AMBER, DOCK, MODELER, RasMol and
many other programs. Related terms: computational chemistry,
Computer Assisted Drug Design;
molecular graphics, molecular dynamics, molecular mechanics.
molecular models:
Models used experimentally or theoretically
to study molecular shape, electronic properties, or interactions; includes
analogous molecules, computer generated graphics, and mechanical structures.
MeSH, 1984
molecular recognition:
refers
to the specific interaction between two or more molecules through noncovalent
bonding such
as hydrogen
bonding, metal
coordination, hydrophobic
forces,[3][4] van
der Waals forces, π-π
interactions, halogen
bonding,
electrostatic and/or electromagnetic[5] effects....Molecular
recognition plays an important role in biological systems
and is observed in between receptor-ligand,[10][11] antigen-antibody, DNA-protein, sugar-lectin, RNA-ribosome,
etc.
Wikipedia accessed 2018 Sept 14
https://en.wikipedia.org/wiki/Molecular_recognition
Related terms: molecular mimicry,
peptidomimetic, recognition site
Partial Least Squares PLS:
Projection to latent structures
(PLS) is a robust multivariate generalized regression method using projections
to summarize multitudes of potentially collinear variables (Wold et al.,
1993). IUPAC Computational
plug and play systems:
Required
for effective chemoinformatics systems. Must be designed backward from
the answer to the data to be captured and systems should be in components
where each component has one simple task…modular systems that can "plug
and play" into other systems. Frank Brown "Chemoinformatics: What is it
and How does it Impact Drug Discovery" Annual Reports in Medicinal Chemistry
33: 375- 384, 1998
predictive data mining: Algorithms
& data analysis
Used in structure- function correlations.
Quantitative Structure-Activity Relationships QSAR:: Mathematical relationships linking chemical structure and pharmacological
activity in a quantitative manner for a series of compounds. Methods which
can be used in QSAR include various regression and
pattern recognition
techniques. QSAR is often taken to be equivalent to chemometrics or multivariate
statistical data analysis. It is sometimes used in a more limited
sense as equivalent to Hansch analysis. QSAR is a subset of the more general
term SPC. IUPAC Computational
The building of structure – biological activity
models by using regression analysis with physicochemical constants,
indicator variables or theoretical calculations. The term has been extended
by some authors to include chemical reactivity, i.e. activity is regarded
as synonymous with reactivity. This extension is, however, discouraged. Related
term: correlation analysis. IUPAC Compendium
A quantitative prediction of the biological, ecotoxicological or
pharmaceutical activity of a molecule. It is based upon structure and activity
information gathered from a series of similar compounds. MeSH, 2001
QSARs
attempt to correlate chemical structure with activity using statistical
approaches. The QSAR models are useful for various purposes including the
prediction of activities of untested chemicals. Quantitative structure- activity
relationships and other related approaches have attracted broad scientific
interest, particularly in the pharmaceutical industry for drug discovery and in
toxicology and environmental science for risk assessment. An assortment of new
QSAR methods have been developed during the past decade, most of them focused on
drug discovery. Besides advancing our fundamental knowledge of QSARs, these
scientific efforts have stimulated their application in a wider range of
disciplines, such as toxicology, where QSARs have not yet gained full
appreciation. Synonymous? term: QSPR: Quantitative Structure Property
Relationship Related terms: Algorithms glossary SAR Structure Activity Relationship; Hansch
analysis; Drug discovery &
development drug design; Pharmacogenomics
toxicogenomics
quantum chemical calculations:
Molecular property calculations
based on the Schrödinger equation, which take into account the interactions
between electrons in the molecule. IUPAC Computational
quantum mechanics:
The laws of physics that apply on very small scales. The essential feature is that energy, momentum and angular momentum as well as charge come in discrete amounts called quanta.
More... SLAC Glossary, Stanford Linear Accelerator Center, Stanford Univ. US http://www2.slac.stanford.edu/vvc/glossary.html#sectQ
Narrower terms: ab initio quantum mechanical methods, ab initio quantum mechanical
modeling, semi- empirical quantum mechanical methods
rules of five:
Lipinski’s rules.
Set of criteria for predicting the oral bioavailability of a compound on
the basis of simple molecular features (molecular weight, CLogP,
numbers of hydrogen- bond donors and acceptors). Often used to profile
a library or virtual library with respect to the proportion of drug- like
members which it contains. IUPAC Combinatorial
An algorithm,
developed by Christopher A. Lipinski (of Pfizer) and colleagues, in which
many of the cutoff numbers are five or multiples of five. ...Pfizer has developed a additional number of criteria for
adoption of lead candidates. Advanced Drug Delivery Research 23: 3- 25, 1997.
semi-empirical methods:
Molecular orbital calculations using
various degrees of approximation and
using only valence electrons. IUPAC Computational
semi-empirical quantum mechanical methods:
Use parameters derived
from experimental data to simplify computations.
The simplification may occur at various levels: simplification of the Hamiltonian
(e.g. as in the Extended Hückel method), approximate evaluation of
certain molecular integrals (see, for example, zero differential
overlap), simplification of the wave function (for example, use of p electron
approximation as in Pariser-Parr-Pople). IUPAC Computational
silo systems:
Legacy method for
many information systems, a system built to collect, store and report one
laboratory’s data. Each "silo system" holds the data differently and may
be in a different technology … the results of the systems cannot easily
be interchanged … This is as much a corporate structure and resource problem
as it is a technical problem. Contrast with "plug and play". Frank
Brown "Chemoinformatics: What is it and How does it Impact Drug Discovery"
Annual Reports in Medicinal Chemistry 33: 375- 384,1998
Related
term: information silos, interoperability
simulated annealing SA:
A procedure used in molecular dynamics
simulations, in which the system is allowed to equilibrate at high temperatures,
and then cooled down slowly to remove kinetic energy and to permit trajectories
to settle into local minimum energy conformations. IUPAC Computational
stereochemical formula
(stereoformula):
A three- dimensional view of a molecule either as such or in a projection.
IUPAC Compendium
stereochemistry: See stereochemical formula
(stereoformula):
Structure Activity Relationship
SAR: The relationship between chemical structure and pharmacological activity
for a series of compounds IUPAC Medicinal Chemistry
Compounds are often classed together because
they have structural characteristics in common including shape, size, stereochemical
arrangement, and distribution of functional groups. Other factors contributing
to structure- activity relationship include chemical reactivity, electronic
effects, resonance, and inductive effects. MeSH, 1972 Narrower terms:
3D-QSAR, QSAR; Related terms: NMR SAR by NMR ;
Algorithms
& data management cluster analysis, Principal Components Analysis PCA, recursive
partitioning
Structure-Property
Correlation SPC:
All statistical mathematical
methods used to correlate any molecular property (intrinsic, chemical or
biological) to any other property, using statistical regression or pattern
recognition techniques (Van de Waterbeemd, 1992). QSAR is a
subset of the more general term SPC. IUPAC Computational Narrower terms: 3D QSAR, QSAR
van der Waals forces: The attractive or repulsive forces
between molecular entities (or between groups within the same molecular
entity) other than those due to bond formation or to the electrostatic
interaction of ions or of ionic groups with one another or with neutral
molecules. ... The term is sometimes used loosely for the totality of nonspecific
attractive or repulsive forces. IUPAC Compendium
virtual database assembly:
A crucial activity as it enables access to
the large number of drug- like molecules that could theoretically be made... can
serve several purposes: for example, to generate a maximally diverse virtual
library for lead generation, a biased library aimed at a specific
target or
target family, or a lead optimization library. Nicholas J. Hrib, Norton P. Peet
"Chemoinformatics: are we exploiting these new science?" Drug
Discovery Today 5 (11): 483- 485, Nov. 2000
virtual library:
A library which has no physical existence, being
constructed solely in electronic form or on paper. The building blocks required for such
a library may not exist, and the chemical steps for such a library may not have been
tested. These libraries are used in the design and evaluation of possible
libraries. IUPAC Combinatorial Chemistry Related terms:
Combinatorial
libraries & synthesis
virtual molecules:
It has also become clear that even the most
efficient combinatorial chemistry approaches can generate only a minute fraction
of the 1 x 1040 virtual drug molecules that could be prepared.
Timothy Ritchie "Chemoinformatics; manipulating chemical information to
facilitate decision- making in drug discovery" Drug Discovery Today 6(16):
813- 814, 16 Aug. 2001
Cheminformatics/Chemoinformatics resources
How
to look for other unfamiliar terms
IUPAC definitions are reprinted with the
permission of the International Union of Pure and Applied Chemistry.
Cheminformatics/
Chemoinformatics Glossary & taxonomy
Evolving terminologies for emerging
technologies
Comments? Questions? Revisions?
Mary Chitty MSLS mchitty@healthtech.com
Last revised
January 09, 2020
Chemistry:
Assays
& screening Chemistry
Combinatorial
libraries & synthesis
Informatics
Algorithms
Bioinformatics,
Databases & Software,
Drug
discovery informatics Information management &
interpretation
Narrower term: CoMFA
Comparative Molecular Field Analysis Related term: drug design
Chemical
Informatics Letters glossary, Jonathan Goodman http://www-jmg.ch.cam.ac.uk/CIL/gloss.html
IUPAC
International Union of Pure and Applied Chemistry, Glossary of Terms used in
Computational Drug Design, H. van de Waterbeemd, R.E. Carter, G. Grassy, H.
Kubinyi, Y. C.. Martin,
M.S. Tute, P.
Willett, 1997. 125+ definitions
IUPAC
International
Union of Pure and Applied Chemistry Glossary
of terms used in Biomolecular Screening 2011 http://iupac.org/publications/pac/83/5/1129/
IUPAC International Union of Pure and Applied Chemistry, Glossary of terms
used in Computational Drug Design, Part I, 1997
https://www.degruyter.com/view/j/pac.1997.69.issue-5/pac199769051137/pac199769051137.xml?utm_source=TrendMD&utm_medium=TrendMD&utm_campaign=TrendMD_0
IUPAC
International Union of Pure and Applied Chemistry, Glossary of Terms used in
Computational Drug Design, Part II, 2015
https://www.degruyter.com/downloadpdf/j/pac.2016.88.issue-3/pac-2012-1204/pac-2012-1204.pdf
Virtual
Computational Chemistry Laboratory
http://www.vcclab.org
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