Metabolism is the sum of all chemical reactions within an organism. Metabolic pathways consist of enzyme-catalyzed reactions organized into linear chains or cyclic pathways. Enzymes lower the activation energy of reactions by binding to substrates and altering their structure. Enzyme inhibitors can competitively or non-competitively bind to enzymes and reduce their activity. Metabolic pathways are regulated by end-product inhibition, which stops pathways once their product reaches a certain concentration. Databases can be used to screen chemicals and identify potential new drugs, like anti-malarial treatments. Rates of enzymatic reactions can be calculated from experimental data and plotted on graphs to determine inhibition type.
A seminar on the pharmacodynamic effects of drugs on enzymes along with their applications. Presented on 07/08/2019
Handout:
1) Introduction & history of enzymes
2) Nomenclature & classification of Enzymes (NC-IUBMB)
3) Structure of enzymes - Shape, active & allosteric sites
4) Mechanism of action of enzymes- Substrate binding, catalysis, dynamics, allosteric modulation
5) Role of enzymes
6) Enzymes as drug targets
7) Enzyme inhibition by drugs:
A) Targeted clinical effects by enzyme Inhibition
B) Enzyme kinetics
C) Types of enzyme inhibition - Competitive, Non competitive & uncompetitive inhibition
D) Adverse drug reactions due to enzyme inhibition
8) Enzyme activation by drugs
9) Microsomal enzymes as drug targets
10)Transmembrane receptors linked to enzymes:
A) Tyrosine Kinase pathway
B) JAK-STAT pathway
C) Serine Threonine Pathway
D) Toll like Receptors
E) TNF-α Receptors
11) Summary with system-wise drugs acting on enzymes
12) Newly Approved Drugs
13) Conclusion
14) References
An artificial enzyme is a synthetic organic molecule or ion that mimics one or more functions of an enzyme.
Molecules are designed and modified to achieve some desirable features of enzymes.
Protein engineering has been developed to design and synthesize molecules with the attributes of enzymes for non-natural reactions.
They have a molecular weight of less than 2000 Dalton.
They have the ability to stabilize at a higher temperature.
They are also known as synzymes or enzyme mimics.
ENZYME INHIBITION MORE INTERESTING IN CHEMISTRY WAYShikha Popali
WHAT ARE EWNZYMES? HERE IT IS EXPLAIN WITH ITS KINETICS AND LATER ENZYME INHIBITION. WHERE IT ALSO INCLUDES THE CLASSIFICATION OF ENZYME INHIBITORS, AVAILABLE IN MEDICINE WITH ITA BASIC REASEARCH.
ENZYME INHIBITION THE MOST IMPORTANT TOPIC FOR BIOLOGY AS WELL AS CHEMISTRY PEOPLES. WE HAVE HERE COVERED FOR THE PHARMA STUDENTS THIS WILL MAKE THEM EASY AS WE ARE COLLECTED ALL THE DATA A SINGLE PLACE WICH COVERS ALL THE COTENTS.
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Summary
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Enzyme, a substance that acts as a catalyst in living organisms, regulating the rate at which chemical reactions proceed without itself being altered in the process.
In the induced-fit theory of enzyme-substrate binding, a substrate approaches the surface of an enzyme (step 1 in box A, B, C) and causes a change in the enzyme shape that results in the correct alignment of the catalytic groups (triangles A and B; circles C and D represent substrate-binding groups on the enzyme that are essential for catalytic activity). The catalytic groups react with the substrate to form products (step 2). The products then separate from the enzyme, freeing it to repeat the sequence (step 3). Boxes D and E represent examples of molecules that are too large or too small for proper catalytic alignment. Boxes F and G demonstrate binding of an inhibitor molecule (I and I′) to an allosteric site, thereby preventing interaction of the enzyme with the substrate. Box H illustrates binding of an allosteric activator (X), a nonsubstrate molecule capable of reacting with the enzyme.
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Category: Science & Tech
Key People: Richard Henderson Emil Fischer Maud Leonora Menten Günter Blobel Arieh Warshel
Related Topics: neuraminidase renin-angiotensin system allosteric control induction cooperativity
A brief treatment of enzymes follows. For full treatment, see protein: Enzymes.
The biological processes that occur within all living organisms are chemical reactions, and most are regulated by enzymes. Without enzymes, many of these reactions would not take place at a perceptible rate. Enzymes catalyze all aspects of cell metabolism. This includes the digestion of food, in which large nutrient molecules (such as proteins, carbohydrates, and fats) are broken down into smaller molecules; the conservation and transformation of chemical energy; and the construction of cellular macromolecules from smaller precursors. Many inherited human diseases, such as albinism and phenylketonuria, result from a deficiency of a particular enzyme.
rennet in cheese making
rennet in cheese making
Rennet, which contains the protease enzyme chymosin, being added to milk during cheese making.
Enzymes also have valuable industrial and medical applications. The fermenting of wine, leavening of bread, curdling of cheese, and brewing of beer have been practiced from earliest times, but not until the 19th century were these reactions understood to be the result of the catalytic activity of enzymes. Since then, enzymes han
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...
8.1 metabolism
1. 8.1 Metabolism (AHL)
Essential idea: Metabolic reactions are regulated in response to the
cell’s needs.
https://mediaeatout.files.wordpress.com/2013/11/candidates-eating-obama-sized.jpg
2. Understandings, Applications and Skills
Statement Guidance
8.1 U.1 Metabolic pathways consist of chains and
cycles of enzyme-catalysed reactions.
8.1 U.2 Enzymes lower the activation energy of the
chemical reactions that they catalyse.
8.1 U.3 Enzyme inhibitors can be competitive or
non-competitive.
Enzyme inhibition should be studied
using one specific example for
competitive and non-competitive
inhibition.
8.1 U.4 Metabolic pathways can be controlled by
end-product inhibition.
8.1 A.1 End-product inhibition of the pathway that
converts threonine to isoleucine.
8.1 A.2 Use of databases to identify potential new
anti-malarial drugs.
8.1 S.1 Calculating and plotting rates of reaction
from raw experimental results.
8.1 S.2 Distinguishing different types of inhibition
from graphs at specified substrate
concentration.
3. • Metabolism: the sum total of
all chemical reactions that
occur within an organism.
• Two types of metabolic
pathways
1. Linear Metabolic Pathways:
•Chemical changes in living things
often occurring with a number of
intermediate stages.
•Each stage has its own enzyme.
•Catabolic pathways breakdown
molecules
•Anabolic pathways build up
molecules
8.1 U.1 Metabolic pathways consist of chains and cycles of enzyme-
catalysed reactions.
4. 2. Cyclic Metabolic Pathways:
•The initial substrate is fed into the
cycle.
• Enzyme (a) combines the
regenerated Intermediate 4 to
catalyzes the production of
intermediate 1
• Enzyme (b) converts
intermediate 1 to intermediate 2
• Enzyme (c) converts
intermediate 2 to intermediate
3. The product is formed and
removed.
• Enzyme (d) converts
intermediate 3 to intermediate 4
and the cycle repeats.
5. 8.1 U.2 Enzymes lower the activation energy of the chemical reactions
that they catalyzed.
Activation energy: the initial input of energy that is required to trigger a
chemical reaction.
un-catalyzed reaction
catalyzed reaction
http://www.ib.bioninja.com.au/_Media/exergonic_reaction_med.jpeg
Enzymes benefit organisms by speeding up the rate at which reactions occur,
they make them happen millions of times faster.
The key effect enzymes have upon reactions
6. 8.1 U.2 Enzymes lower the activation energy of the chemical reactions
that they catalyze.
• The substrate binds to the enzymes’ active site and the active site is altered reaching
the transition state (the enzyme-substrate complex).
• Due to the binding the bonds in the substrate molecule are stressed/become less
stable.
• The binding lowers the overall energy level of the transition state.
• The activation energy of the reaction is then becomes reduced.
How do enzymes lower the activation energy of a reaction?
http://en.wikipedia.org/wiki/Image:Induced_fit_diagram.png
7. • Inhibitors are substances that reduce or completely stop the action of
an enzyme
• Inhibition can act on the active site (competitive) or on another
region of the enzyme molecule(non-competitive). The competition in
the former being for the active site of the enzyme.
8.1 U.3 Enzyme inhibitors can be competitive or non-competitive.
8. Competitive Inhibition
•The substrate and inhibitor are chemically
very similar in molecular shape.
•The inhibitor can bind to the active site
•Enzyme-inhibitor complex blocks
substrate from entering the active site.
•This blockage reduces the rate of
reaction.
However..
•If the substrate concentration is increased
it occupies more active sites than the
inhibitor. Therefore the substrate out-
competes the inhibitor for the active
site.
•The rate of reaction will increase again.
8.1 U.3 Enzyme inhibitors can be competitive or non-competitive.
9. Non-Competitive inhibition
•The substrate and the inhibitor are
chemically different in molecular
structure.
•The inhibitor cannot bind to the
active site.
•The inhibitor can bind to another
region of the enzyme molecule.
•The bonding of the inhibitor with
the enzyme causes structural
changes in the enzyme molecule.
•The active site changes shape.
•The substrate cannot bind therefore
the rate of reaction decreases.
10. 8.1 S.2 Distinguishing different types of inhibition from graphs at
specified substrate concentration.
https://wikispaces.psu.edu/download/attachments/46924781/image-6.jpg
Rate of reaction is reduced
Features of competitive inhibitors
When the concentration of substrate
begins to exceed the amount of
inhibitor, the maximum rate of the
uninhibited enzyme can be achieved.
However, it takes a much higher
concentration of substrate to achieve
this maximum rate.
11. https://wikispaces.psu.edu/download/attachments/46924781/image-6.jpg
Rate of reaction is reduced
Features of non-competitive inhibitors
It takes approximately the same
concentration of enzyme to reach the
maximum rate, but the maximum
rate is lower than the uninhibited
enzyme.
• The binding of the non-competitive inhibitor prevents
some of the enzymes from being able to react regardless
of substrate concentration.
• Those enzymes that do not bind inhibitors follow the
same pattern as the normal enzyme.
8.1 S.2 Distinguishing different types of inhibition from graphs at
specified substrate concentration.
12. 8.1 A.1 End-product inhibition of the pathway that converts threonine to isoleucine.
http://www.uic.edu/classes/bios/bios100/lecturesf04am/feedback-inh.gif
Isoleucine is an essential amino acid*
• Bacteria synthesize isoleucine from
threonine in a series of five
enzyme-catalysed steps
• As the concentration of isoleucine
increases, some of it binds to the
allosteric site of threonine
deaminase
• Isoleucine acts as a non-
competitive inhibitor to threonine
deaminase
• The pathway is then turned off,
regulating isoleucine production.
• If the concentration of isoleucine
later falls (as a result of its use)
then the allosteric sites of
threonine deaminase are emptied
and the enzymes recommences
the conversion of threonine to
isoleucine takes place.
13. 8.1 A.2 Use of databases to identify potential new anti-malarial drugs.
http://upload.wikimedia.org/wikipedia/commons/0/02/Mosquito_bite4.jpg
• Malaria is a
disease caused by
the pathogen
Plasmodium
falciparum.
• This protozoan uses
mosquitoes as a host
as well as humans
and hence can be
passed on by
mosquito bites
14. • In one study, approx. 300,000
chemicals were screened against
a chloroquine-sensitive 3D7
strain and the chloroquine-
resistant K1 strain of P.
falciparum.
• Other related and unrelated
organisms, including human cell
lines, were also screened.
• (19) new chemicals that inhibit
the enzymes normally targeted
by anti-malarial drugs were
identified
• Additionally (15) chemicals that
bind to malarial proteins were
identified – this can help in the
location of P. falciparum
• These results indicate possible
new directions for drug research.
Increasing drug resistance to anti-malarial drugs has lead to the use of bioinformatics and
chemogenomics to try and identify new drugs.
8.1 A.2 Use of databases to identify potential new anti-malarial drugs.
15. • Sometimes when a chemical binds to a target site, it can significantly alter
metabolic activity.
• Massive libraries of chemicals are tested individually on a range of related
organisms.
• For each organism a range of target sites are identified.
• A range of chemicals which are known to work on those sites are tested.
Bioinformatics is an approach whereby
multiple research groups can add information to a
database enabling other groups to query the
database.
Bioinformatics has facilitated research into metabolic pathways is
referred to as chemogenomics.
16. 8.1 S.1 Calculating and plotting rates of reaction from raw experimental
results.
The rate of reaction can be calculated using the formula:
Rate of reaction (s-1) = 1 / time taken (s)
Time taken in enzyme experiments this is commonly the time to reach a measurable end
point or when a standard event, caused by the enzyme reaction, has come to pass. This is
usually measured by the effects of the accumulation of product, but can as easily be
measured by the disappearance of substrates.
http://www.scienceexperimentsforkids.us/wp-content/uploads/2011/08/hydrogen-experiments-for-kids-3-img.jpg
Use the results from it or data from one of your
enzyme inhibition labs to calculate the rate of
reaction.
Enzyme inhibition can be investigated using these two
outlines by Science & Plants for Schools:
• The effect of end product, phosphate, upon the
enzyme phosphatase
• The inhibition of catechol oxidase by lead
17. 2.6 Structure of DNA and RNA
Essential idea: The structure of DNA allows efficient storage of
genetic information.
18. Understandings, Applications and Skills
Statement Guidance
2.6 U.1 The nucleic acids DNA and RNA are polymers of
nucleotides.
2.6 U.2 DNA differs from RNA in the number of strands
present, the base composition and the type of
pentose.
2.6 U.3 DNA is a double helix made of two antiparallel
strands of nucleotides linked by hydrogen
bonding between complementary base pairs.
2.6 A.1 Crick and Watson’s elucidation of the structure
of DNA using model making.
2.6 S.1 Drawing simple diagrams of the structure of
single nucleotides of DNA and RNA, using circles,
pentagons and rectangles to represent
phosphates, pentose and bases.
In diagrams of DNA structure, the helical
shape does not need to be shown, but the
two strands should be shown antiparallel.
Adenine should be shown paired with
thymine and guanine with cytosine, but the
relative lengths of the purine and pyrimidine
bases do not need to be recalled, nor the
numbers of hydrogen bonds between the
base pairs.
19. 2.6 U.1 The nucleic acids DNA and RNA are polymers of nucleotides.
A nucleotide: a single unit of a nucleic acid
There are two types of nucleic acid: DNA and RNA.
Nucleic acids are very large
molecules that are constructed by
linking together nucleotides to
form a polymer.
20. covalent bond
covalent bond
A nucleotide: a single unit of a nucleic acid
• five carbon atoms = a pentose
sugar
• If the sugar is Deoxyribose the
polymer is Deoxyribose Nucleic
Acid (DNA)
• If the sugar Ribose the polymer is
Ribose Nucleic Acid (RNA)
• acidic
• negatively
charged
• contains nitrogen
• has one or two rings
in it’s structure
21. 2.6 U.1 The nucleic acids DNA and RNA are polymers of nucleotides.
22.
23. 2.6 U.1 The nucleic acids DNA and RNA are polymers of nucleotides.
• Nucleotides a linked into a
single by condensation
reaction
• Bonds are formed between the
phosphate of one nucleotide
and the pentose sugar of the
next.
• The phosphate group (attached
to the 5'-C of the sugar) joins
with the hydroxyl (OH) group
attached to the 3'-C of the
sugar
• Successive condensation
reactions between nucleotides
results in the formation of a
long single strand
24. RNA DNA
Bases
Adenine (A)
Guanine (G)
Uracil (U)
Cytosine (C)
Adenine (A)
Guanine (G)
Thymine (T)
Cytosine (C)
Sugar
Ribose Deoxyribose
Number of strands
Single stranded, and often,
but not always, linear in
shape
Two anti-parallel,
complementary strands
form a double helix
2.6 U.2 DNA differs from RNA in the number of strands present, the
base composition and the type of pentose.
http://commons.wikimedia.org/wiki/File:RiboseAndDeoxy.gif
25. 2.6 U.3 DNA is a double helix made of two antiparallel strands of nucleotides linked by
hydrogen bonding between complementary base pairs.
• DNA is double stranded and shaped
like a ladder, with the sides of the
ladder made out of repeating
phosphate and deoxyribose sugar
molecules covalently bonded
together. The two strands are
antiparallel to each other.
• The rungs of the ladder contain two
nitrogenous bases (one from each
strand) that are bonded together by
hydrogen bonds.
• The nitrogenous bases match up
according the Chargaff’s Rules in
which adenine always bonds to
thymine, and guanine always bonds
with cytosine. These bonds are
hydrogen bonds.
26. 2.6 S.1 Drawing simple diagrams of the structure of single nucleotides of
DNA and RNA, using circles, pentagons and rectangles to represent
phosphates, pentoses and bases.
Use this simple, but very
effective You Tube video to
learn how to draw the
nucleotides making up a
short section of a DNA
molecule.
To make sure you have
learn this skill you need to
practice it repeatedly.
http://youtu.be/kTH13oI8BSI
27. 2.6 A.1 Crick and Watson’s elucidation of the structure of DNA using
model making.
http://scarc.library.oregonstate.edu/coll/nonspcoll/catalog
ue/picture-dnamodel-900w.jpg
While others worked using an experimental basis Watson and
Crick used stick-and-ball models to test their ideas on the
possible structure of DNA. Building models allowed them to
visualize the molecule and to quickly see how well it fitted the
available evidence.
It was not all easy going however. Their first model, a triple helix,
was rejected for several reasons:
• The ratio of Adenine to Thymine was not 1:1 (as discovered
by Chargaff)
• It required too much magnesium (identified by Franklin)
From their setbacks they realized:
• DNA must be a double helix.
• The relationship between the bases and base pairing
• The strands must be anti-parallel to allow base pairing to
happen
Because of the visual nature of their work the second and the
correct model quickly suggested:
• Possible mechanisms for replication
• Information was encoded in triplets of bases
28. http://www.nobelprize.org/educational/medicine/dna_double_helix/readmore.html
http://youtu.be/sf0YXnAFBs8
Find out more about the discovery of DNA:
Watson and Crick gained Nobel prizes for
their discovery. It should be remembered
that their success was based on the
evidence they gained from the work of
others. In particular the work of Rosalind
Franklin and Maurice Wilkins, who were
using X-ray diffraction was critical to their
success.
2.6 A.1 Crick and Watson’s elucidation of the structure of DNA using
model making.