1. The genetic code is composed of nucleotide triplets called codons that specify individual amino acids.
2. Experiments confirmed that the genetic code is a triplet code and that each codon corresponds to a specific amino acid, with some codons coding for the same amino acid (degenerate).
3. Key properties of the genetic code include it being triplet-based, non-overlapping, unambiguous, degenerate, and nearly universal across organisms.
Genetic code, Deciphering of genetic code, properties of genetic code, Initiation & termination of codons, Gene Mutation, non sense codon, release factors, Transition , Trans versions
transformation in bacteria is a classical example of horizontal gene transfer which leads to enhanced survivability and also introduction of variations that may lead to evolution
Eukaryotic transcription is the elaborate process that eukaryotic cells use to copy genetic information stored in DNA into units of RNA replica.- Source: Wikipedia
DNA polymerases are a group of enzymes that are used to make copies of DNA templates, essentially used in DNA replication mechanisms. These enzymes make new copies of DNA from existing templates and also function by repairing the synthesized DNA to prevent mutations. DNA polymerase catalyzes the formation of the phosphodiester bond which makes up the backbone of DNA molecules. It uses a magnesium ion in catalytic activity to balance the charge from the phosphate group.
Genetic code, Deciphering of genetic code, properties of genetic code, Initiation & termination of codons, Gene Mutation, non sense codon, release factors, Transition , Trans versions
transformation in bacteria is a classical example of horizontal gene transfer which leads to enhanced survivability and also introduction of variations that may lead to evolution
Eukaryotic transcription is the elaborate process that eukaryotic cells use to copy genetic information stored in DNA into units of RNA replica.- Source: Wikipedia
DNA polymerases are a group of enzymes that are used to make copies of DNA templates, essentially used in DNA replication mechanisms. These enzymes make new copies of DNA from existing templates and also function by repairing the synthesized DNA to prevent mutations. DNA polymerase catalyzes the formation of the phosphodiester bond which makes up the backbone of DNA molecules. It uses a magnesium ion in catalytic activity to balance the charge from the phosphate group.
Basics of Undergraduate/university fellows
Transcription is more complicated in eukaryotes than in prokaryotes because
eukaryotes possess three different classes of RNA polymerases and because of the
way in which transcripts are processed to their functional forms.
More proteins and transcription factors are involved in eukaryotic transcription.
RNA splicing, in molecular biology, is a form of RNA processing in which a newly made precursor messenger RNA transcript is transformed into a mature messenger RNA. During splicing, introns are removed and exons are joined together.
Eukaryotic transcription is carried out in the nucleus of the cell and proceeds in three sequential stages: initiation, elongation, and termination. Eukaryotes require transcription factors to first bind to the promoter region and then help recruit the appropriate polymerase.
Replication Introduction , DNA replicating Models , Meselson and Stahl Experiments , Circuler Model of DNA replication , Replication in Prokaryotes , Replication In Eukaryotes , Comparison Between Prokaryotes and Eukaryotes Replicaton and PCR (Polymerease Chain Reaction)
DNA is maintained in a compressed, supercoiled state.
But basis of replication is the formation of strands based on specific bases pairing with their complementary bases
Introduction
Definition
Factors required for Translation
Formation of aminoacyl t-RNA
1)Activation of amino acid
2) Transfer of amino acid to t-RNA
Translation involves following steps:-
1)Initiation
2)Elongation
3)Termination
Conclusion
Reference
Basics of Undergraduate/university fellows
Transcription is more complicated in eukaryotes than in prokaryotes because
eukaryotes possess three different classes of RNA polymerases and because of the
way in which transcripts are processed to their functional forms.
More proteins and transcription factors are involved in eukaryotic transcription.
RNA splicing, in molecular biology, is a form of RNA processing in which a newly made precursor messenger RNA transcript is transformed into a mature messenger RNA. During splicing, introns are removed and exons are joined together.
Eukaryotic transcription is carried out in the nucleus of the cell and proceeds in three sequential stages: initiation, elongation, and termination. Eukaryotes require transcription factors to first bind to the promoter region and then help recruit the appropriate polymerase.
Replication Introduction , DNA replicating Models , Meselson and Stahl Experiments , Circuler Model of DNA replication , Replication in Prokaryotes , Replication In Eukaryotes , Comparison Between Prokaryotes and Eukaryotes Replicaton and PCR (Polymerease Chain Reaction)
DNA is maintained in a compressed, supercoiled state.
But basis of replication is the formation of strands based on specific bases pairing with their complementary bases
Introduction
Definition
Factors required for Translation
Formation of aminoacyl t-RNA
1)Activation of amino acid
2) Transfer of amino acid to t-RNA
Translation involves following steps:-
1)Initiation
2)Elongation
3)Termination
Conclusion
Reference
• The genetic code is the set of rules by which information encoded in genetic material (DNA or RNA sequences) is translated into proteins (amino acid sequences) by living cells.
• The genetic code, once thought to be identical in all forms of life, has been found to diverge slightly in certain organisms and in the mitochondria of some eukaryotes.
• Nevertheless, these differences are rare, and the genetic code is identical in almost all species, with the same codons specifying the same amino acids.
Genetic information is stored in DNA by means of a triplet code that is nearly universal to all living things on Earth.
The genetic code is initially transferred from DNA to RNA, in the process of transcription.
Genetic information is stored in DNA by means of a triplet code that is nearly universal to all living things on Earth.
The genetic code is initially transferred from DNA to RNA, in the process of transcription.
The sequence of nucleotides in deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) that determines the amino acid sequence of proteins. Though the linear sequence of nucleotides in DNA contains the information for protein sequences, proteins are not made directly from DNA. Instead, a messenger RNA (mRNA) molecule is synthesized from the DNA and directs the formation of the protein. RNA is composed of four nucleotides: adenine (A), guanine (G), cytosine (C), and uracil."(U)."
Genetic code is the term we use for the way that the four bases of DNA--the A, C, G, and Ts--are strung together in a way that the cellular machinery, the ribosome, can read them and turn them into a protein. In the genetic code, each three nucleotides in a row count as a triplet and code for a single amino acid.
Genetic Information Transfer (Biology for Engineers)Dr. Arun Sharma
Information Transfer: Purpose: The molecular basis of coding and
decoding genetic information is universal. Molecular basis of information
transfer. DNA as a genetic material. Hierarchy of DNA structure- from
single stranded to double helix to nucleosomes. Concept of genetic code.
Universality and degeneracy of genetic code. Define gene in terms of
complementation and recombination.
Genetic code is a dictionary that corresponds with sequence of nucleotides and sequence of amino acids.
Genetic code is a set of rules by which information encoded in genetic material(DNA or RNA sequences) is translated into proteins by living cells.
Term given By ″ Goerge Gamow ʺ
STRUCTURE OF GENE and genetic code in animals pptIrfanBhat44
Structure of gene and genetic code
It permits essentially the same complement of enzymes and other proteins to be specified by microorganisms varying widely in their DNA base composition.
Degeneracy also provides a mechanism of minimising mutational lethality.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Genetic code2
1. The Genetic Code
Objectives:
Understand the triplet nature of the genetic code, and know the meaning of the term codon.
Know that the code is degenerate, and what that means.
Know that the code is unambiguous, and what that means.
Know the identities of the start and stop codons, and understand how they work.
Genetic information is stored in DNA which was clear from the experiments of Avery, Macleod, and McCarty
and Hershey and Chase. However, these experiments did not explain how DNA stores genetic information.
Elucidation of the structure of DNA by Watson and Crick did not offer an obvious explanation of how the
information might be stored. DNA was constructed from nucleotides containing only four possible bases (A,
G, C, and T). The big question was: how do you code for all of the traits of an organism using only a four
letter alphabet?
Central dogma of molecular biology. The information stored in DNA is ultimately transferred to protein,
which is what gives cells and tissues their particular properties. Proteins are linear chains of amino acids,
and there are 20 amino acids found in proteins. So the real question becomes: how does a four letter
alphabet code for all possible combinations of 20 amino acids?
By constructing multi-letter "words" out of the four letters in the alphabet, it is possible to code for all of
the amino acids. Specifically, it is possible to make 64 different three letter words from just the four letters
of the genetic alphabet, which covers the 20 amino acids easily. This kind of reasoning led to the proposal
of a triplet genetic code.
Experiments involving in vitro translation of short synthetic RNAs eventually confirmed that the genetic
code is indeed a triplet code. The three-letter "words" of the genetic code are known as codons. This
experimental approach was also used to work out the relationship between individual codons and the
various amino acids. After this "cracking" of the genetic code, several properties of the genetic code became
apparent:
3. • The genetic code is composed of nucleotide triplets. In other words, three
nucleotides in mRNA (a codon) specify one amino acid in a protein.
• The code is non-overlapping. This means that successive triplets are read in order.
Each nucleotide is part of only one triplet codon.
• The genetic code is unambiguous. Each codon specifies a particular amino acid, and
only one amino acid. In other words, the codon ACG codes for the amino acid
threonine, and only threonine.
• The genetic code is degenerate. In contrast, each amino acid can be specified by
more than one codon.
• The code is nearly universal. Almost all organisms in nature (from bacteria to
humans) use exactly the same genetic code. The rare exceptions include some
changes in the code in mitochondria, and in a few protozoan species.
•Some of these properties will be examined in more detail.
A Non-overlapping Code The genetic code is read in groups (or "words") of three
nucleotides. After reading one triplet, the "reading frame" shifts over three letters,
not just one or two. In the following example, the code would not be read
GAC ACU CUG UGA
Rather, the code would be read
GAC, UGA, CUG, ACU...
GAC UGA CUG ACU...
4. Degeneracy of the Genetic Code
There are 64 different triplet codons, and only 20 amino acids. Unless some
amino acids are specified by more than one codon, some codons would be
completely meaningless. Therefore, some redundancy is built into the
system: some amino acids are coded for by multiple codons. In some cases,
the redundant codons are related to each other by sequence; for example,
leucine is specified by the codons CUU, CUA, CUC, and CUG. Note how the
codons are the same except for the third nucleotide position. This third
position is known as the "wobble" position of the codon. This is because in
a number of cases, the identity of the base at the third position can wobble,
and the same amino acid will still be specified. This property allows some
protection against mutation - if a mutation occurs at the third position of a
codon, there is a good chance that the amino acid specified in the encoded
protein won't change.
5. Reading Frames
Because the genetic code is triplet based, there are three possible ways
a particular message can be read, as shown in the following figure:
Clearly, each of these would yield completely different results.
To illustrate the point using an analogy, consider the following set of
letters: theredfoxatethehotdog
If this string of letters is read three letters at a time, there is one reading
frame that works: the red fox ate the hot dog
and two reading frames that produce nonsense:
t her edf oxa tet heh otd og
th ere dfo xat eth eho tdo g
Genetic messages work much the same way: there is one reading frame
that makes sense, and two reading frames that are nonsense
6. So how is the reading frame chosen for a particular mRNA?
The answer is found in the genetic code itself. The code contains
signals for starting and stopping translation of the code. The start
codon is AUG. AUG also codes for the amino acid methionine, but the
first AUG encountered signals for translation to begin. The start codon
sets the reading frame: AUG is the first triplet, and subsequent triplets
are read in the same reading frame. Translation continues until a stop
codon is encountered. There are three stop codons: UAA, UAG, and
UGA. To be recognized as a stop codon, the triplet must be in the same
reading frame as the start codon. A reading frame between a start codon
and an in-frame stop codon is called an open reading frame. Let's see
how a sequence would be translated by considering the following
sequence:
5'-GUCCCGUGAUGCCGAGUUGGAGUCGAUAACUCAGAAU-3‘
First, the code is read in a 5' to 3' direction. The first AUG read in that
direction sets the reading frame, and subsequent codons are read in
frame, until the stop codon, UAA, is encountered.
7. 5'-GUCCCGUGAUGCCGAGUUGGAGUCGAUAACUCAGAAU-3
Met Pro Ser Trp Ser Arg Stop
In this sequence, there are nucleotides at either end that are outside of
the open reading frame. Because they are outside of the open reading
frame, these nucleotides are not used to code for amino acids. This is a
common situation in mRNA molecules. The region at the 5' end that is
not translated is called the 5' untranslated region, or 5' UTR. The region
at the 3' end is called the 3' UTR. These sequences, even though they do
not encode any polypeptide sequence, are not wasted: in eukaryotes
these regions typically contain regulatory sequences that can affect
when a message gets translated, where in a cell an mRNA is localized,
and how long an mRNA lasts in a cell before it is destroyed
8.
9. Through the experiments it has been proved that the mRNA codons of the
genetic code have the following properties :
The code is triplet : Triplet code consists of 4x4x4 = 66 codons may code
for 20 essential amino acids. The triple code of mRNA has been accepted.
The code is degenerate : There are 64 codons in the genetic code for 20
amino acids of which 4 codons are the signals. Therefore, 61 codons are to
code for amino acids.It means that more than one codon may be coding
for individual amino acid.
The code is non-overlapping : The genetic code is non-overlapping which
means that the same letter does not take part in the formation of more than
one codon.
The code is non-ambiguous : A particular codon will always code for the
same amino acid. It may also be that the same amino acid may be coded
by two different codons. However, when one codon codes for two amino
acids, it is called ambiguous.
10. 1.All 64 codons are used. 61 of them can be assigned to certain
amino acids, the other three are stop signals. One of the codons can
act both as an amino acid codon and as a start signal.
2.The different amino acids have different numbers of accompanying
codons. For some, like Met or Trp exists just one codon, for others
two or four and for some (Ser, Arg) even six. The frequency of the
codons and the frequency of their amino acid is correlated. An
exception is Arg, that has six codons but is underrated regarding its
frequency in proteins.
3.The codons are not assigned randomly. The first two nucleotides of
a codon have a higher informational value than the third one, GUU,
GUC, GUA and GUG, for example, do all encode Val. Codons rich in
UC encode hydrophobic, such rich in AG hydrophilic amino acids.
11. Many (nearly 30%) of all base substitutions do not change the encoding
properties, for example:
UUU > UUC: Phe > Phe
Even if a base substitution causes an amino acid exchange is the
chemical character of the side chain in most cases conserved
(conservative exchanges). The genetic code can consequently be
regarded as extremely conservative:
UUU > UUG: Phe > Leu
CUC > AUC: Leu > Ile
AAA > AGA: Lys+ > Arg+
AAA > GAA: Lys+ > Asp-
Exceptions exist (radical exchanges):
GAG > GUG: Glu- > Val
GAA> GUA: Glu- > Val
12. The code is comma less : The genetic code is without comma i.e. no
punctuations are required between the two codons. There are no
demarcating signals between two codons. This result is continuous
coding of amino acid without interruption . No codons are left uncoded
which will be like UUUCUCGUAUCC.
The code has polarity : The code has polarity which is read between the
fixed start and stop codons. The start codon is also known as initiation
codon, and stop codon as termination codon.
The code is Universal : Though the genetic code has been worked out by
using in vitro systems of microorganisms, yet there is no doubt of being
its universal for all groups of micro organisms.
13. Different organisms exhibit different statistical preferences of triplet codon
usage, as well as using the amino acids in widely varying proportions.
See Of URFs and ORFs' by Russell Doolittle, University Science Books
(1986) ISBN 0-935702-54-7.
The Mitochondrial Genetic Code
Human mitochondrial DNA encodes only 22 tRNA species and these are
the only tRNAs used for the translation of mitochondrial mRNAs. This is
accomplished by an extreme form of wobble in which U of the anticodon in
tRNA can pair with any of the four bases in the third codon position of the
mRNA, allowing four codons to be recognized by a single tRNA. In addition
some codons specify different amino acids in mitochondria than in the
universal code.
Differences between the Universal and Mitochondrial Genetic Codes
Human
Codon Universal code
mitochondrial code
UGA Stop Trp
AGA Arg Stop
AGG Arg Stop
AUA Ile Met
14. The "Wobble" Hypothesis
Even before the genetic code had been elucidated, Francis Crick
postulated that base pairing of the mRNA codons with the tRNA
anticodons would require precision in the first two nucleotide positions
but not so in the third position (the precise conformation of base pairs,
which refers to the hydrogen bonding between A-T (A-U in RNA) and C-G
pairs is known as Watson-Crick base pairing). The third position, in
general, would need to be only a purine (A or G) or a pyrimidine (C or U).
Crick called this phenomenon "wobble."
This less-than-precise base pairing would require fewer tRNA species.
For example, tRNAGlu could pair with either GAA or GAG codons. In
looking at the codon table, one can see that, for the most part, the first
two letters are important to specify the particular amino acid. The only
exceptions are AUG (Met) and UGG (Trp) which, as indicated above, have
only one codon each.
15. The Wobble Hypothesis - 1966, Francis Crick
The genetic code is degenerate: one amino acid may be encoded by several
different codons.
unmixed codon families - first two bases always code for the same amino
acid (there's practically no need to read the third base of the codon) e.g. - leu,
val, ser, rpo, thr, ala etc.
mixed codon families - first two bases may be included in the code for more
than one different amino acid or for an amino acid and a start or stop codon.
16. Crick termed this redundancy "wobble": the code was not rigid, and there
was room for error.
Similar codons code for amino acids with similar physical properties. For
example:
a "U" in the center position always encodes a hydrophobic aa. A mutation at
the two outer positions will not change that.
negatively charged aa's (e.g. aspartate, glutamate) always begin with GA. A
mutation in the 3rd position will not change that.
This is evidence that a triplet code not only allows for more diversity, but
also provides a margin of error in terms of deleterious mutations.
17.
18. EXCEPTIONS TO THE UNIVERSAL GENETIC CODE
Organism Normal codon Usual meaning New meaning
Mammalian AGA, AGG Arginine Stop codon
mitochondria AUA Isoleucine Methionine
UGA Stop codon Tryptophan
Drosophila AGA, AGG Arginine Serine
mitochondria AUA Isoleucine Methionine
UGA Stop codon Tryptophan
Yeast AUA Isoleucine Methionine
mitochondria UGA Stop codon Tryptophan
CUA, CUC, CUG,
Leucine Threonine
CUU
Higher plant UGA Stop codon Tryptophan
mitochondria CGG Arginine Tryptophan
Protozoan nuclei UAA, UAG Stop codons Glutamine
Mycoplasma
capricolum UGA Stop codon Tryptophan
bacteria