There are several key steps to sequencing a protein, including:
1) Separating individual protein chains and breaking disulfide bonds. This can involve reagents like mercaptoethanol or performic acid.
2) Purifying individual protein chains using techniques like electrophoresis or chromatography.
3) Cleaving the purified protein into fragments using enzymes like trypsin or chemicals like cyanogen bromide.
4) Determining the amino acid sequence of each fragment, then combining the overlapping sequences to deduce the full protein sequence.
Introduction
What is Protein Sequencing?
History
Determination of amino acid composition
Sequencing methods
N terminal sequencing
C terminal sequencing
Mass spectrometer
Application
Reference
Introduction
What is Protein Sequencing?
History
Determination of amino acid composition
Sequencing methods
N terminal sequencing
C terminal sequencing
Mass spectrometer
Application
Reference
This is technique used widely for protein separation from a mixture and is very easy and less costly method. Slides cover all essential points about EMSA and it is quite interesting to know that how it detect and separate different proteins and their mobility shift assay.
Introduction.
History of Protein Sequencing.
Determining Amino Acid Composition.
N-terminal amino acid analysis.
C-terminal amino acid analysis
The Edman degradation reaction.
Limitations of the Edman degradation.
Mass spectrometry
Importance
Conclusion
Reference
The experimental methods used by biotechnologists to determine the structures of proteins demand sophisticated equipment and time.
A host of computational methods are developed to predict the location of secondary structure elements in proteins for complementing or creating insights into experimental results.
Chou-Fasman algorithm is an empirical algorithm developed for the prediction of protein secondary structure
Sanger sequencing is a method of DNA sequencing based on the selective incorporation of chain-terminating dideoxynucleotides by DNA polymerase during in vitro DNA replication.
This is technique used widely for protein separation from a mixture and is very easy and less costly method. Slides cover all essential points about EMSA and it is quite interesting to know that how it detect and separate different proteins and their mobility shift assay.
Introduction.
History of Protein Sequencing.
Determining Amino Acid Composition.
N-terminal amino acid analysis.
C-terminal amino acid analysis
The Edman degradation reaction.
Limitations of the Edman degradation.
Mass spectrometry
Importance
Conclusion
Reference
The experimental methods used by biotechnologists to determine the structures of proteins demand sophisticated equipment and time.
A host of computational methods are developed to predict the location of secondary structure elements in proteins for complementing or creating insights into experimental results.
Chou-Fasman algorithm is an empirical algorithm developed for the prediction of protein secondary structure
Sanger sequencing is a method of DNA sequencing based on the selective incorporation of chain-terminating dideoxynucleotides by DNA polymerase during in vitro DNA replication.
DNA Sequencing : Maxam Gilbert and Sanger SequencingVeerendra Nagoria
DNA sequencing is a technique to find out the exact arrangement of Nucleotides to make one strand of DNA. DNA sequencing helps in numerous ways from sequence information to paternity testing, mutation detection etc. Traditionally two approaches were used to solve the problem. First is based of enzymes and Second is based on ddNTPs to sequence the DNA using gel electrophoresis technique.
When you digest a sample of your protein with Chymotrypsin you get a.pdfkarymadelaneyrenne19
When you digest a sample of your protein with Chymotrypsin you get a different set of
fragments:
MNY
LMRNF
CDEKICY
LVSKMQL
IGRASTF
HPPRGATW
a) How does the Edman Degradation method work?
b) What is the correct sequence of your protein?
c) What are alternate ways you could have determined the sequence of your protein?
Solution
Edman degradation is a chemical method used for the sequencing of amino acids in a peptide.
This method is developed by Pehr Edman in 1960. In this method, N-terminal is labeled or
cleaved form the peptide and number of residues are identified
The Edman degradation is a very important reaction for protein sequencing, because it allows the
ordered amino acid composition of a protein to be discovered.
Automated Edman sequencers are now in widespread use, and are able to sequence peptides up
to approximately 50 amino acids long. A reaction scheme for sequencing a protein by the Edman
degradation follows:
1.Break anydisulfide bridgesin the protein with areducing agentlike2-mercaptoethanol.
Aprotecting groupsuch asiodoacetic acidmay be necessary to prevent the bonds from re-forming.
2.Separate and purify the individual chains of the protein complex, if there are more than one.
3.Determine the amino acid composition of each chain.
4.Determine the terminal amino acids of each chain.
5.Break each chain into fragments under 50 amino acids long.
6.Separate and purify the fragments.
7.Determine the sequence of each fragment.
8.Repeat with a different pattern of cleavage.
9.Construct the sequence of the overall protein.
Step – 1: The phenyl isothiocyanate reagent attacks and removes the N-terminal amino acid unit
in the form of a substituted thiohydantoin heterocycle. Characteristic hydantoin derivatives of all
the amino acids have been made and catalogued, so identification of the terminal unit is
accomplished easily by comparison.
Step – 2: The terminal amino group adds to the reactive isothiocyanate function to give a
substituted thiourea. This moiety is conformationally mobile, and the sulfur atom may approach
the carboxyl carbonyl of the N-terminal amino acid.
Step – 3: Anhydrous HCl protonates the amide oxygen atom, activating it to nucleophilic attack
by sulfur. Next, a thiazolinone heterocycle incorporating the N-terminal unit is cleaved, leaving
behind a shorter peptide chain. This heterocyclic ring is unstable and undergoes acid-catalyzed
rearrangement to the isomeric thiohydantoin (in the green shaded box).
Digestion into peptide fragments
Peptides longer than about 50-70 amino acids long cannot be sequenced reliably by the Edman
degradation. Because of this, long protein chains need to be broken up into small fragments that
can then be sequenced individually. Digestion is done either by endopeptidases such as trypsin or
pepsin or by chemical reagents such as cyanogen bromide. Different enzymes give different
cleavage patterns, and the overlap between fragments can be used to construct an overall
sequence.
Reaction
The pe.
Protein is a macronutrient that is essential to building muscle mass. It is commonly found in animal products, though is also present in other sources, such as nuts and legumes. There are three macronutrients: protein, fats and carbohydrates. Macronutrients provide calories, or energy.
Protein Sequencing
Introduction
Protein Sequencing
History of Protein Sequencing
Determining Amino Acid Composition
N-terminal amino acid analysis
C-terminal amino acid analysis
Edman degradation
The Edman degradation reaction
Limitations of the Edman degradation
Mass spectrometry
Nucleic Acid Sequencing
Introduction
Nucleic Acid Sequencing
Type of Nucleic Acid Sequencing
DNA Sequencing
Method of DNA Sequencing
Application of DNA Sequencing
DNA Sequencing Institutes
Conclusion
Reference
Describes the structural organisation of proteins with example and its determination, interrelationship b/w structure and function of proteins, also biologically important peptides is covered.
by Dr. N. Sivaranjani, MD
Proteins play crucial roles in nearly all biological processes. These many functions of proteins are a result of the folding of proteins into many distinct 3D structures.
Protein analysis tries to explore how amino acid sequences specify the structure of proteins and how these proteins bind to substrates and other molecules to perform their functions.
Protein analysis allows us to understand the function of the protein based on its structure.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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