The document discusses the classification, structure, and functions of proteins. It describes 8 types of proteins based on their functions, including structural, catalytic, transport, hormonal, gene regulatory, protective, receptor, and contractile proteins. It also discusses the primary, secondary, tertiary, and quaternary structure of proteins, as well as their denaturation. Finally, it outlines several important functions of proteins such as providing energy, structure, defense, transport, catalysis, and storage of genetic information.
Protein ( introduction, classification, properties, structure, importance and...Mohd Asad Farooqui
Proteins are macromolecules formed by amino acids. Proteins are large size molecules (macromolecules), polymers of structural units called amino acids. A total of 20 different amino acids exist in proteins and hundreds to thousands of these amino acids are attached to each other in long chains to form a protein
Introduction
Proteins
Function Of Protein And Their Properties
Protein Isolation And Purification
Methods Of Cell Lysis
Steps Of Protein Characterisation:
Determination Of Protein Concentration
Biuret Reaction
Lowry (Folin-Lowry) Method
UV- Spectroscopy
Assessment Of Protein Purity
SDS -Phage
Immunoblot
Surface Charge Analysis
Isoelectro Focusing
Ion Exchange Chromatography
Size, Shape And Conformation Analysis
2d-Electrophorasis
X-Ray Crytalliography
Protein Structure and Sequence Analysis
Edman Sequencing
Conclusion
References
Protein ( introduction, classification, properties, structure, importance and...Mohd Asad Farooqui
Proteins are macromolecules formed by amino acids. Proteins are large size molecules (macromolecules), polymers of structural units called amino acids. A total of 20 different amino acids exist in proteins and hundreds to thousands of these amino acids are attached to each other in long chains to form a protein
Introduction
Proteins
Function Of Protein And Their Properties
Protein Isolation And Purification
Methods Of Cell Lysis
Steps Of Protein Characterisation:
Determination Of Protein Concentration
Biuret Reaction
Lowry (Folin-Lowry) Method
UV- Spectroscopy
Assessment Of Protein Purity
SDS -Phage
Immunoblot
Surface Charge Analysis
Isoelectro Focusing
Ion Exchange Chromatography
Size, Shape And Conformation Analysis
2d-Electrophorasis
X-Ray Crytalliography
Protein Structure and Sequence Analysis
Edman Sequencing
Conclusion
References
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
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Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
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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.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Richard's aventures in two entangled wonderlandsRichard 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.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
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As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
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.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
4. 9/6/2022 Dept of Biochemistry, SSMC 4
Types Function Example Types Function Example
i)
Structural
Protein
Support
framework
of cell
Collagen, Elastin,
etc
v) Gene
regulatory
Protein
Regulate
genetic
functions
Histone,
Protamine
ii)
Catalytic
Protein
Catalysis Enzymes vi)
Protective
Protein
Prevent
infection
Immunoglobulin
iii)
Transport
Protein
Transport
of
substances
Albumin,
Transferrin
vii) Receptor
Protein
Receptor
function
LDL receptor
iv)
Hormonal
Protein
Regulation
of
functions
Insulin, Glucagon viii)
Contractile
Protein
Muscle
contraction
Actin, Myosin
A) FunctionalClassificationofProteins
5. 9/6/2022 Dept of Biochemistry, SSMC 5
Points i) Simple protein ii) Conjugated
protein
iii) Derived
protein
Composition Composed of amino acid
residues without
any non protein
substances
Composed of protein
along
with non protein
prosthetic substances
Denatured /
degraded
products of
simple protein &
conjugated
protein
On
hydrolysis
They produce only amino
acids
They produce amino acid
plus other non amino
acid substances
-
Types 2 types: Fibrous protein &
Globular protein
- -
Example Fibrous: Collagen, elastin,
keratin etc
Nucleoprotein,
lipoprotein
Proteose, peptone,
PP,
B) Classificationofproteinsbasedontheirsize,shape&solubility
6. 9/6/2022 Dept of Biochemistry, SSMC 6
Points Fibrous protein Globular protein
Synonym Scleroprotein Spheroprotein
Shape Fibre like with high tensile
strength
Oval / spherical
MW High Relatively low
Origin Entirely animal origin -
Water
solubility
Insoluble Soluble
Digestibility Highlyresistanttoproteolyticenzymes Digestible by proteolytic
enzymes
Site Tendons, ligaments, cartilage, hair,
nail
etc
-
Example Collagen, elastin, keratin etc Albumin, globulin, histone,
protamine etc
7. 9/6/2022 Dept of Biochemistry, SSMC 7
Conjugated protein Prosthetic / Non protein
groups
Nucleoprotein Nucleic acid (DNA , RNA)
Lipoprotein Lipid
Glycoprotein Carbohydrate (oligosaccharide)
Hemoglobin, myoglobin,
peroxidase, catalase,
cytochrome
Heme
Ferritin Iron
Ceruloplasmin Copper
Carbonic anhydrase Zinc
8. 9/6/2022 Dept of Biochemistry, SSMC 8
Points i) Complete
protein
ii) Incomplete
protein
iii) Partially
incomplete
protein
Composition Containsall essential
amino acids
Completely lack one or
more essential
amino acids
Partially lack one or
more essential
amino acids
Role on
growth
Promotes growth Can not promote
growth
-
Example Egg albumin, meat etc Gelatin (lacks Trp) Wheat protein
C) Nutritionalclassificationofproteins
23. 9/6/2022 Dept of Biochemistry, SSMC 23
Points A) Primary
structure
B)
Secondary
structure
C) Tertiary
structure
D) Quaternary
structure
What is
it?
Exact linear
sequence of
amino acids in
a protein held
together by
peptide bonds
The Helical or
pleated
sheet like
protein
The three
dimensional
globular form of
protein
A multi chain oligomeric
protein
How
formed?
By joining a
number of
amino acids
whose
sequence is
determined
genetically
By periodic
folding,
twisting or
coiling of its
primary
structure
By further folding &
twisting of a
secondary
structure of protein
about itself keeping
the hydrophobic
side chains buried
interiorly &
By joining of 2 or more
polypeptide chains
(same / different
type) at a definite
spatial relationship.
(Individual PP chain is
called monomer/
subunit)
24. Points A) Primary
structure
B) Secondary
structure
C) Tertiary
structure
D) Quaternary
structure
Any
specialty?
It determines
the
secondary,
tertiary &
quaternary
structure of
a specific
protein
2 types of
conformation:
i)Helical form
ii)Pleated sheet
form
It is the overall
shape
of a single protein
unit.
The protein is
functionally
active at this
level
Collection of single
protein units at
tertiary
level.
Specific
Bond (S)
- Peptide bond
(Mainly)
- Di sulfide
bond
- Peptide bond
- Di sulfide bond
- Hydrogen bond
- Peptide bond
- Di sulfide bond
- Hydrogen bond
- Ionic bond
- Hydrophobic
bonds
- Van der walls
Same as tertiary
structure :
- Peptide bond
- Di sulfide bond
- Hydrogen bond
- Ionic bond
- Hydrophobic
25. 9/6/2022 Dept of Biochemistry, SSMC 25
Points Primary
structure
Secondary
structure
Tertiary
structure
Quaternary
structure
Example Insulin Fibrous protein
(collagen, elastin,
keratin)
Albumin, globulin,
antibody etc.
Hb, Insulin, CPK,
LDH etc
34. 9/6/2022 Dept of Biochemistry, SSMC 34
Sourceofenergy
Formationofcytoskeleton
(Flexiblestructural
framework for cells/tissues)
Provides:
Mechanicalsupport: By structural protein
likecollagen, elastin
Defenseagainst infection: By antibody like
immunoglobulin
Helpsin:
Musclecontraction: By
contractileprotein likeactin,
myosin
Coagulation: By clottingfactors
Actsas:
Vehicle for transport of diff
molecules likehormones,drugs, vitamins
etc
Buffer