This document discusses amino acids and their properties. It begins by explaining that amino acids are organic compounds that contain amine and carboxyl groups and have different R groups. Proteins are composed of chains of amino acids linked by peptide bonds. There are 20 standard amino acids that are the building blocks of proteins. The document then classifies amino acids based on their R groups and discusses their structures, chemical properties, and roles in the body.
Amino acids are biologically important organic compounds composed of amine (-NH2) and carboxylic acid (-COOH) functional groups, along with a side-chain specific to each amino acid. The key elements of an amino acid are carbon, hydrogen, oxygen, and nitrogen, though other elements are found in the side-chains of certain amino acids. About 500 amino acids are known and can be classified in many ways. They can be classified according to the core structural functional groups' locations as alpha- (α-), beta- (β-), gamma- (γ-) or delta- (δ-) amino acids; other categories relate to polarity, pH level, and side-chain group type (aliphatic, acyclic, aromatic, containing hydroxyl or sulfur, etc.). In the form of proteins, amino acids comprise the second-largest component (water is the largest) of human muscles, cells and other tissues.Outside proteins, amino acids perform critical roles in processes such as neurotransmitter transport and biosynthesis.
Amino acids are biologically important organic compounds composed of amine (-NH2) and carboxylic acid (-COOH) functional groups, along with a side-chain specific to each amino acid. The key elements of an amino acid are carbon, hydrogen, oxygen, and nitrogen, though other elements are found in the side-chains of certain amino acids. About 500 amino acids are known and can be classified in many ways. They can be classified according to the core structural functional groups' locations as alpha- (α-), beta- (β-), gamma- (γ-) or delta- (δ-) amino acids; other categories relate to polarity, pH level, and side-chain group type (aliphatic, acyclic, aromatic, containing hydroxyl or sulfur, etc.). In the form of proteins, amino acids comprise the second-largest component (water is the largest) of human muscles, cells and other tissues.Outside proteins, amino acids perform critical roles in processes such as neurotransmitter transport and biosynthesis.
Enzymes definitions, types & classificationJasmineJuliet
Enzyme - Introduction, Biocatalysts, Definition of enzymes, Types of enzymes, classification of enzyme, Nomenclature of enzymes, EC number, Types of enzymes with examples, and reaction.
This Course is included in the syllabus of Bachelor in Science Agriculture level study in Tribhuvan University. The course belongs to 1h lecture.This slide include general introduction of amino acid. It describes about structure, function , type and role of amino acid.
Enzymes properties, nomenclature and classificationJasmineJuliet
Enzymes - Definition, Introduction about biocatalysts, Properties of enzymes, Specificity, capacity for regulation, Example for enzyme at specific pH, Nomenclature of enzymes, Systematic name, common name, enzyme commission number, Classification of enzymes: Oxidoreductase, Transferase, lyases, ligases, isomerases, hydrolases.
Proteins are the macromolecules responsible for the biological processes in the cell. They consist at their most basic level of a chain of amino acids, determined by the sequence of nucleotides in a gene. Depending on the amino acid sequence (different amino acids have different biochemical properties) and interactions with their environment, proteins fold into a three-dimensional structure, which allows them to interact with other proteins and molecules and perform their function
Proteins are naturally occurring polymers made up of amino acids and linked together by peptide bonds.
Proteins are the most abundant organic molecules in the living system.
The term "protein" is derived from the Greek word proteios, meaning holding the first place.
These are nitrogenous organic compounds that have large molecules weight of one or more long chains of amino acids.
Proteins are made from 20 ɑ-amino acids. (chains of amino acids)
A single unit of amino acid is known as a monomer. When many monomers combine together, they form polymers.
This presentation the chemical structure of natural amino acids. It also classifies amino acids according to several criteria e.g., structure (aliphatic, aromatic, and heterocyclic amino acids), reaction (Neutral, acidic and basic amino acids), polarity (polar and nonpolar amino acids), and metabolic fate ( glucogenic, ketogenic and glucoketogenic amino acids)
Enzymes definitions, types & classificationJasmineJuliet
Enzyme - Introduction, Biocatalysts, Definition of enzymes, Types of enzymes, classification of enzyme, Nomenclature of enzymes, EC number, Types of enzymes with examples, and reaction.
This Course is included in the syllabus of Bachelor in Science Agriculture level study in Tribhuvan University. The course belongs to 1h lecture.This slide include general introduction of amino acid. It describes about structure, function , type and role of amino acid.
Enzymes properties, nomenclature and classificationJasmineJuliet
Enzymes - Definition, Introduction about biocatalysts, Properties of enzymes, Specificity, capacity for regulation, Example for enzyme at specific pH, Nomenclature of enzymes, Systematic name, common name, enzyme commission number, Classification of enzymes: Oxidoreductase, Transferase, lyases, ligases, isomerases, hydrolases.
Proteins are the macromolecules responsible for the biological processes in the cell. They consist at their most basic level of a chain of amino acids, determined by the sequence of nucleotides in a gene. Depending on the amino acid sequence (different amino acids have different biochemical properties) and interactions with their environment, proteins fold into a three-dimensional structure, which allows them to interact with other proteins and molecules and perform their function
Proteins are naturally occurring polymers made up of amino acids and linked together by peptide bonds.
Proteins are the most abundant organic molecules in the living system.
The term "protein" is derived from the Greek word proteios, meaning holding the first place.
These are nitrogenous organic compounds that have large molecules weight of one or more long chains of amino acids.
Proteins are made from 20 ɑ-amino acids. (chains of amino acids)
A single unit of amino acid is known as a monomer. When many monomers combine together, they form polymers.
This presentation the chemical structure of natural amino acids. It also classifies amino acids according to several criteria e.g., structure (aliphatic, aromatic, and heterocyclic amino acids), reaction (Neutral, acidic and basic amino acids), polarity (polar and nonpolar amino acids), and metabolic fate ( glucogenic, ketogenic and glucoketogenic amino acids)
It contain more information about Amino acids and their structure. Then , contain both physical and chemical properties. Next Classification of amino acids based on nutritional requirements, based on metabolic fate, Position of NH2 group, etc.,
Table of Contents
What are Amino Acids?
Properties of Amino acids
Physical Properties
Chemical Properties
Structure of Amino acids
Classification of amino acids on the basis of R-group
Classification of amino acids on the basis of nutrition
Essential amino acids (Nine)
Non-essential amino acids (Eleven)
Classification of amino acids on the basis of the metabolic fate
Functions of Amino acids
This was a report regarding amino acids and peptides that was prepared by our group and this report made in order to make a score. Hope this slide makes more it to be on help.
General structure of amino acid
Specific learning objective (SLO): Amino acid as Ampholytes (acid and base), Zwitter ions.
Classification of amino acid on the basis of side chain, chemical composition, Nutritional Requirement and metabolic fate.
Derived amino acids.
Optical properties of amino acids.
Acid-Base properties and Buffer characteristic.
Biological Important Peptides
Proteins based on nutritional value
Amino acids structure classification & function by KK Sahu sirKAUSHAL SAHU
INTRODUCTION
STRUCTURE
CLASSIFICATION OF AMINO ACIDS
ELEROCHEMICAL PROPERTIES
IONIZATION
TITRATION CURVE
NONSTANDARD PROTEIN AMINO ACIDS
NONPROTEIN AMINO ACIDS
DISTRIBUTION IN PROTEIN
ESSENTIAL AMINO ACIDS
FUNCTIONS
Importance of reference manager in research writing and publishing is given.
Helps you in making your research paper more accurately and efficiently.
Maintains reference papers database for you to, so that you can access it anywhere and anytime.
Here, I have talked about two most famous and used reference managers that are Endnote, and Mendeley
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.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
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.
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 .
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
2. CONTENTS
1) What are amino acids?
2) Amino acids and proteins
3) Classification of amino acids
4) Structure of amino acids
5) Physio- chemical properties
6) Chemical properties
3. Amino acids are
organic compounds
containing amine (-
NH2) and carboxyl
(COOH) functional
groups, along with a
side chain (R group)
specific to each
amino acid.
4.
5. Proteins are complex, organic compounds
composed of many amino acids linked together
through peptide bonds and cross-linked
between chains by , hydrogen bonds and van
der Waals forces.
There is a greater diversity of chemical
composition in proteins than in any other group
of biologically active compounds.
6. The human body has thousands of different proteins, all
of which are necessary for staying alive and healthy.
Amino acids are the building blocks of proteins. There
are 20 different amino acids in nature. All amino acids
include five basic parts:
1)a central carbon atom
2)a hydrogen atom
3)an amino group - consisting of a nitrogen atom and
two hydrogen atoms
4)a carboxyl group - consisting of a carbon atom, two
oxygen atoms, and one hydrogen atom
5)an R-group or side chain - consisting of varying atoms
7. Based on R- group:
1. Non-Polar amino acids
2. Polar uncharged amino acids
3. Acidic amino acids
4. Basic amino acids
Based on diet
Based on catabolism
8. Group I amino acids are glycine, alanine, valine, leucine,
isoleucine, proline, phenylalanine, methionine, and
tryptophan.
The R groups of these amino acids have either aliphatic or
aromatic groups. This makes them hydrophobic (“water
fearing”).
In aqueous solutions, globular proteins will fold into a three-
dimensional shape to bury these hydrophobic side chains in
the protein interior.
1. NON POLAR AMINO ACIDS
10. 2. POLAR UNCHARGED GROUP
The polar uncharged amino acids are serine,
threonine, tyrosine, asparagine, and glutamine.
The side chains in this group possess a spectrum of
functional groups.
However, most have at least one atom (nitrogen,
oxygen, or sulfur) with electron pairs available for
hydrogen bonding to water and other molecules.
12. The two amino acids in this group are aspartic acid and
glutamic acid.
Each has a carboxylic acid on its side chain that gives it
acidic (proton-donating) properties.
In an aqueous solution at physiological pH, all three
functional groups on these amino acids will ionize, thus giving
an overall charge of −1.
3. ACIDIC AMINO ACIDS
14. 4. BASIC AMINO ACIDS
The three amino acids in this group are arginine,
histidine, and lysine. Each side chain is basic (i.e.,
can accept a proton).
Lysine and arginine both exist with an overall charge
of +1 at physiological pH.
The guanidino group in arginine’s side chain is the
most basic of all R groups (a fact reflected in its pKa
value of 12.5).
17. 1. Non-essential amino acids -An amino acid that can be
made by humans and so is not essential to the human diet.
There are 11 nonessential amino acids: alanine, arginine,
asparagine, aspartic acid, cysteine, glutamic acid, glutamine,
glycine, proline, serine, and tyrosine.
2. Essential amino acids- Essential amino acids cannot be
cannot be made by the body but is obtained from food.
The 9 essential amino acids are: histidine, isoleucine, leucine,
lysine, methionine, phenylalanine, threonine, tryptophan,
valine.
3. Conditionally essential- are usually not essential, except in
times of illness and stress.
Conditional amino acids include: arginine, cysteine, glutamine,
tyrosine, glycine, ornithine, proline, serine.
18. 1. Glucogenic amino acids:
These are the amino acids that can be converted into glucose
through gluconeogenesis.
There are 13 amino acids which are glucogenic: Alanine,
Arginine, Asparagine, Aspartic acid, Cysteine, Glutamic acid,
Glutamine, Glycine, Histidine, Methionine, Proline, Serine, Valine.
2. Ketogenic amino acids:
These are the amino acids that can be degraded directly into
acetyl Co-A.
Leucine and Lysine.
3. Both glucogenic and ketogenic amino acids:
These amino acids breakdown to form both ketone bodies and
glucose.
Isoleucine, Phenylalanine, Tryptophan and tyrosine.
19. 1. Solubility:
Most of the amino acids are usually soluble in water,
and insoluble in organic solvents.
2. Melting Point:
Amino acids are generally melt at higher temperature
of above 2000C.
3. Taste:
Amino acids may be sweet (Gly, Ala & Val), tasteless
(Leu) or Bitter (Arg & Ile).
20. 4. Optical Properties:
All amino acids possess optical isomers due to the
presence of asymmetric α-carbon atoms.
5. Zwitter ion and Isoelectric point:
The name zwitter is derived from the German word which means
“hybrid”. Zwitter ion (or) dipolar ion is a hybrid molecule
containing positive & negatively ionic groups. Basically the proton
shifts from carboxyl group to amino
group of the self molecule at normal pH cellular levels.
6. Titration Curve of Glycine:
Glycine is optically inactive, simplest amino acid because which
have no asymmetric carbon atom. Acid-Base titration
involves the gradual addition (or) removal of protons. It has three
different stages when the Glycine undergoes
acid-base titration.
21.
22. I) Due to Carboxyl group:
a) Decarboxylation:
The amino acids will undergo alpha decarboxylation to
form the corresponding “amines”. Thus important amines
are produced from amino acids.
Histidine → Histamine + CO2
Tyrosine →Tyramine + CO2
23. b) Reaction with Alkalies (Salt formation):
The carboxyl group of amino acids can release a H+ ion
with the formation of Carboxylate (COO–) ions. These
may be neutralized by cations like Na+ and Ca+2 to
form Salts. Thus amino acids react with alkalies to form
“Salts”.
24. c) Reaction with Alcohols (Esterification) :
When the amino acids is reacted with alcohol to
form, “Ester”. The esters are volatile in contrast to
the form amino acids.
Reaction with alcohols :When the amino acids is
reacted with alcohol to form, “Ester”. The esters are
volatile in contrast to the form amino acids.