1. Enzymes are biological catalysts that speed up reactions by lowering activation energy.
2. Enzymes have specific active sites that substrates bind to, and can break down or join substrates.
3. Enzymes are proteins but some are RNA molecules called ribozymes, and their activity is affected by temperature, pH, substrate concentration and other factors.
This is a PowerPoint presentation whose contents are obtained from Earl D. Gates Introduction to Basic Electricity and Electronics. No Copyright Rules Intended to Be Violated. Only the manner of presentation is deemed original. Details about Ohm and Kirchhoff were obtained from Wikipedia.
This is my summary of the currently available antiviral agents that are used in clinical setting. Also included are those that are currently undergoing clinical trials and those that have been phased out. Katzung and Trevor's Basic and Clinical Pharmacology, 13th (2015) Edition served as the main reference for the antiviral drugs outline. Other resources were used to supplement what the main reference lacks.
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.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
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.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
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.
2. Enzymes
Enzymes are molecules that act as catalysts
to speed up biological reactions.
The compound on which an enzyme acts is the
substrate.
Enzymes can break a single structure into
smaller components or join two or more
substrate molecules together.
Most enzymes are proteins.
Many fruits contain enzymes that are used in commercial
processes. Pineapple (Ananas comosus, right) contains the
enzyme papain which is used in meat tenderization processes and
also medically as an anti-inflammatory agent.
3. Enzymes
Ribozymes (ribonucleic acid enzymes) are RNA
molecules that are capable of catalyzing specific
biochemical reactions, similar to the action of protein
enzymes.
The 1982 discovery of ribozymes demonstrated that RNA
can be both genetic material (like DNA) and a biological
catalyst (like protein enzymes), and contributed to the
RNA world hypothesis, which suggests that RNA may
have been important in the evolution of prebiotic self-
replicating systems.
Schematic showing ribozyme cleavage of RNA.
5. Enzyme Examples
Enzyme Role
Pepsin
Stomach enzyme used to
break protein down into
peptides. Works at very acidic
pH (1.5).
Proteases
Digestive enzymes which act
on proteins in the digestive
system
Amylases
A family of enzymes which
assist in the breakdown of
carbohydrates
Lipases
A family of enzymes which
breakdown lipids
3D molecular structures for the
enzymes pepsin (top) and
hyaluronidase (bottom).
6. Enzyme Examples
One of the fastest enzymes in the body is catalase.
Catalase breaks down hydrogen peroxide, a waste
product of cell metabolism, into water and oxygen.
Accumulation of hydrogen peroxide is toxic so this
enzyme performs an important job in the body.
7. Enzyme Power!
All reactants need to have a certain energy
before they will react. This is like an energy
barrier that it has to overcome before a reaction
will occur. It is called the activation energy.
Enzymes are organic catalysts.
All catalysts lower the energy barrier, allowing
the reactants (substrates) to react faster forming
the products.
Enzymes do not participate in the reaction.
8. Reactant
Product
Without enzyme: The activation
energy required is high.
With enzyme: The activation
energy required is lower.
Enzymes
High
Low
Start Finish
Direction of reaction
Amountofenergystoredinthe
chemicals
Low energy
High energy
9. Enzymes
Enzymes have a specific region
where the substrate binds and
where catalysis occurs. This is
called the active site.
Enzymes are substrate-specific,
although specificity varies from
enzyme to enzyme.
When a substrate binds to an
enzyme’s active site, an enzyme-
substrate complex is formed.
Space filling model of the yeast
enzyme hexokinase. Its active
site lies in the groove (arrowed)
10. Enzyme Active Sites
This model (above) is an enzyme called
Ribonuclease S, that breaks up RNA
molecules. It has three active sites (arrowed).
Active site:
The active site contains both binding
and catalytic regions. The substrate
is drawn to the enzyme’s surface and
the substrate molecule(s) are
positioned in a way to promote a
reaction: either joining two molecules
together or splitting up a larger one.Enzyme molecule:
The complexity of the
active site is what makes
each enzyme so specific
(i.e. precise in terms of the
substrate it acts on).
Substrate molecule:
Substrate molecules are the
chemicals that an enzyme
acts on. They are drawn into
the cleft of the enzyme.
11. Lock and Key Model
The lock and key model of enzyme action, proposed earlier this
century, proposed that the substrate was simply drawn into a closely
matching cleft on the enzyme molecule.
Substrate
Enzyme
Products
Symbolic representation of the lock and key model of enzyme action.
1. A substrate is drawn into the active sites of the enzyme.
2. The substrate shape must be compatible with the enzymes active site in
order to fit and be reacted upon.
3. The enzyme modifies the substrate. In this instance the substrate is
broken down, releasing two products.
12. Induced Fit Model
More recent studies have
revealed that the process
is much more likely to
involve an induced fit.
The enzyme or the reactants
(substrate) change their shape
slightly.
The reactants become bound to
enzymes by weak chemical
bonds.
This binding can weaken bonds
within the reactants themselves,
allowing the reaction to proceed
more readily.
The enzyme
changes shape,
forcing the substrate
molecules to
combine.
Two substrate
molecules are
drawn into the cleft
of the enzyme.
The resulting end
product is released
by the enzyme
which returns to its
normal shape, ready
to undergo more
reactions.
13. Changing the Active Site
Changes to the shape of the active site will result in a
loss of function. Enzymes are sensitive to various
factors such as temperature & pH.
When an enzyme has lost its characteristic 3D shape,
it is said to be denatured. Some enzymes can regain
their shape while in others, the changes are
irreversible.
14. The Effect of Temperature on
Enzyme Action Speeds up all reactions, but
the rate of denaturation of
enzymes also increases at
higher temperatures.
High temperatures break the
disulphide bonds holding the
tertiary structure of the
enzyme together thus
changing the shape of the
enzyme.
This destroys the active
sites & therefore makes the
enzyme non – functional.
Too cold for
Enzyme to
work
Too hot for
Enzyme to
work
Optimum
Temperature
for enzyme
15. The Effect of Temperature on
Enzyme Action
The curve in the blue represents an enzyme isolated from an organism
living in the artic. These cold dwelling organisms are called psychrophiles.
The curve in red represents an enzyme isolated from the digestive tract of
humans.
The curve in green represents an enzyme isolated from a thermophile
bacteria found growing in geothermal sea beds.
16. The Effect of pH on Enzyme Action
Like all proteins, enzymes are
denatured by extremes of pH
(acidity/alkalinity).
The green curve is for pepsin
that digests proteins in the
stomach.
The red curve represents the
activity of arginase that
breaks down arginine to
ornithine & urea in the liver.
17. The Effect of Enzyme
Concentration on Enzyme Action
Assuming that the
amount of substrate is
not limiting, an
increase in enzyme
concentration causes
an increase in the
reaction rate.
18. The Effect of Substrate
Concentration on Enzyme Action
Assuming that the amount of
enzyme is constant, an increase in
substrate concentration causes a
diminishing increase in the reaction
rate.
A maximum rate is obtained at a
certain concentration of substrate
when all enzymes are occupied
substrate (the rate cannot increase
any further).
19. The Effect of Cofactors on Enzyme
Action
Cofactors are substances
that are essential to the
catalytic activity of some
enzymes.
Cofactors may alter the
shape of enzymes slightly to
make the active sites
functional or to complete the
reactive site.
Enzyme cofactors include
coenzymes (organic
molecules) or activating ions
(eg. Na+, K+..)
Vitamins are often
coenzymes (eg. Vit B1, Vit
B6…)
20. The Nature of Enzyme Inhibitors
Enzyme inhibitors may or may not act reversibly:
Reversible: the inhibitor is temporarily bound to the
enzyme, thereby preventing its function (used as a
mechanism to control enzyme activity).
Irreversible: the inhibitor may bind permanently to
the enzyme causing it to be permanently
deactivated.
21. The Nature of Enzyme Inhibitors
Reversible Enzymes work in one of two ways:
Competitive inhibitors: the inhibitor competes with
the substrate for the active site, thereby blocking it
and preventing attachment of the substrate.
Non-competitive: the inhibitor binds to the enzyme
(but not at the active site) and alters its shape. It
markedly slows down the reaction rate by making
the enzyme less able to perform its function
(allosteric inhibition).
22. Summary: Enzymes
1. Enzymes work very rapidly and help to speed up
biological reactions.
2. Enzymes can be used multiple times (however they
do degrade eventually).
3. Enzymes can work in both directions of a chemical
reaction.
4. Enzymes have optimal temperatures and pH that
they will operate. Beyond these optimum ranges
they will either not work or become denatured
(unfolded/breakdown).
5. Enzymes are usually specific to one particular
substrate.