Competitive inhibitors bind to the active site of an enzyme, preventing substrate binding. Non-competitive inhibitors bind elsewhere on the enzyme, altering its shape. Uncompetitive inhibitors only bind after substrate binding, blocking the reaction.
02- Enzymes structure and function.pptxHagerAttiya1
02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx
02- Enzymes structure and function.pptxHagerAttiya1
02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx02- Enzymes structure and function.pptx
Metabolism is the set of chemical reactions that occur in living organisms to maintain life. It involves processes such as breaking down molecules to obtain energy (catabolism) and building up molecules for growth and repair (anabolism). Metabolism also includes the regulation of these processes to ensure that the body's energy needs are met and waste products are eliminated. Overall, metabolism is essential for the functioning of cells, tissues, and organs in an organism.
In this ppt competitive inhibition of enzymes is fully explained with its examples. it will be helpful for all the life science students. Non Competitive inhibition , Uncompetitive inhibition & Irreversible inhibition of Enzymes have been well explained in this presentation. it will be helpful for biochemistry, botany, zoology and other life/bio sciences students. I tried to explain Allosteric enzymes, their mechanism of action, Allosteric inhibition, Feedback inhibition in this presentation so that it can be easy to understand the concept for viewers.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
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.
Metabolism is the set of chemical reactions that occur in living organisms to maintain life. It involves processes such as breaking down molecules to obtain energy (catabolism) and building up molecules for growth and repair (anabolism). Metabolism also includes the regulation of these processes to ensure that the body's energy needs are met and waste products are eliminated. Overall, metabolism is essential for the functioning of cells, tissues, and organs in an organism.
In this ppt competitive inhibition of enzymes is fully explained with its examples. it will be helpful for all the life science students. Non Competitive inhibition , Uncompetitive inhibition & Irreversible inhibition of Enzymes have been well explained in this presentation. it will be helpful for biochemistry, botany, zoology and other life/bio sciences students. I tried to explain Allosteric enzymes, their mechanism of action, Allosteric inhibition, Feedback inhibition in this presentation so that it can be easy to understand the concept for viewers.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
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.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
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
1. Inhibition of enzyme activity
Some substances reduce or even stop the catalytic activity of
enzymes in biochemical reactions. They block or distort the active
site. These chemicals are called inhibitors, because they inhibit
reaction.
Inhibitors that occupy the active site and prevent a substrate
molecule from binding to the enzyme are said to be active site-
directed (or competitive, as they 'compete' with the substrate for the
active site).
Inhibitors that attach to other parts of the enzyme molecule, perhaps
distorting its shape, are said to be non-active site-directed (or non
competitive).
1
2. i) inhibitor competes with substrate for the enzyme active site
ii) non-covalent interactions
iii) structures similar to substrate, products or transition state
Reaction scheme for a reversible enzyme inhibitor and the definition of the
dissociation/inhibition constant.
Competitive inhibitors (Michaelis-Menton kinetics)
2
3. P + E
S
+
E
S
E
I S
E
I
S S
S
I
S
E
X
I
I
S
Competitive Inhibition
P + E
Formation of the E-I complex prevents
binding of substrate, therefore the reaction
cannot proceed to the normal physiological
product, P.
High [S] overcome
inhibition
3
4. Formation of the E-I complex prevents binding of substrate,
therefore the reaction cannot proceed to the normal physiological
product, P.
Larger [I] leads to larger [E-I], leaving less free enzyme to which
the substrate can bind.
Limitation: must maintain high [I] to maintain inhibition, requiring
multiple administrations or extended release formulations.
Note that high [S] can overcome inhibition by favoring equilibrium
to the E-S complex.
Competitive inhibitors
4
5. A Competitive Inhibitor has a chemical similarity to the substrate and competes with
the substrate for binding to the active site of the enzyme. A good example to
describe competitive inhibition is the mitochondrial enzyme, succinate
dehydrogenase:
(A) The reaction catalyzed by succinate dehydrogenase is the oxidation of succinate
to fumarate. (B) Malonate and oxaloacetate are competitive inhibitors of succinate
dehydrogenase.
Both these competitive inhibitors, malonate and oxaloacetate, look like succinate in
their chemical character. Both inhibitors can bind in the same places in the active
site of succinate dehydrogenase as the substrate. However, neither inhibitor has the
capacity to undergo the reaction and so the enzyme is inhibited. The hallmark of
competitive inhibition is that it can be overcome by a sufficiently high concentration
of substrate.
C
CH2
CH2
O-
O
O-
O
C
2H
-
Succinate
dehydrogenase
C
CH
C
O-
O
O-
O
C
H
C
C O
CH2
O-
O
O-
O
C
C
CH2
O-
O
O-
O
C
A B
5
8. Competitive inhibition occurs when both substrate and
inhibitor will fit the active site, and compete with each
other to occpy it.
y = mx + c
1
[S]
1
V
Vmax unaltered
Km increased
E
I
E-I P + E
X
E-S P + E
s
8
10. Non-competitive inhibition
In this case of the non-competitive inhibition, the inhibitor
reacts with the enzyme at a site other than the active site,
causing conformational change in enzyme which decreases or
stops catalytic activity.
Both the free enzyme (E) and the enzyme-substrate complex
(E-S) react with inhibitor.
Non-competitive inhibition is irreversible and the substrate can
not over come the inhibitors impact on the enzyme
E
S
E
S
P
E
+
E
S
E
S
E
+
I
EI
ES
ESI
10
12. Non-competitive inhibition occurs when the inhibitor binds
to a site on the enzyme other than the active site or binds
irreversibly to the active site.
y = mx + c
1
[S]
1
V
Vmax reduced
Km unaltered
1
Km
12
13. Non-competitive inhibition occurs when the inhibitor binds
to a site on the enzyme other than the active site or binds
irreversibly to the active site.
E ES
EI ESI
E + P
S
S
I I
I I
ki k’i
13
Two Ki's have the same value, i.e. the
inhibitor binds equally well to E and ES,
then a mixed inhibitor is usually called a
noncompetitive inhibitor.
15. Mixed Inhibitor.
y = mx + c
1
[S]
1
V + I
1
Km
1
Km
app
1
Vmax
1
Vmax app
E ES
EI ESI
E + P
S
S
I I
I I
ki k’i
A mixed inhibitor binds to both E and ES,
not at the substrate binding site:
Note that there are 2 Ki's. If they have the same
value, i.e. the inhibitor binds equaly well to E and ES,
then a mixed inhibitor is usually called a
noncompetitive inhibitor.
In the presence of a mixed inhibitor, the
following Lineweaver-Burk plot is obtained:
Both the apparent Km and the apparent Vmax
are changed by the inhibitor
ki k’i
15
16. Uncompetitive inhibition occurs when the inhibitor binds after
the substrate has bound to the enzyme, and then stops the
reaction occurring.
Uncompetitive inhibition
occurs when the inhibitor
binds only to the ES
complex:
S
+
E E
S
P +
E
E
S
I
16