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General Studies 3 >> Science & Technology

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PROTEIN

PROTEIN

 
1. Context
 
The 2024 Nobel Prize for Chemistry was jointly awarded to David Baker for his work on computational protein design and to Demis Hassabis and John Jumper for developing technologies to predict the structure of proteins.
 
 
2. What is Protein?
 
  • Proteins are large, complex molecules that play many critical roles in the body. They are made up of long chains of amino acids, which are organic compounds composed of carbon, hydrogen, oxygen, nitrogen, and sometimes sulfur
  • Life, as we understand it, depends on proteins, which are composed of amino acids. Although numerous amino acids exist in nature, just 20 of them, combined in various ways, form all the proteins present in the human body and most living organisms.
  • Amino acids play essential roles in providing structural support in tissues, acting as catalysts in biochemical reactions, transporting molecules across biological membranes, regulating muscle contractions that enable movement and heartbeat, and facilitating communication between cells to carry out their functions
 
3. What is Protein Folding?
 
  • The protein-folding problem refers to the challenge of predicting a protein's three-dimensional (3D) structure based solely on its amino acid sequence.
  • A protein possesses multiple identities, one of which is determined by the arrangement of its amino acids in three-dimensional space—its 3D structure. In 1962, researchers John Kendrew and Max Perutz from the University of Cambridge were awarded the Nobel Prize in Chemistry for creating the first 3D models of hemoglobin and myoglobin, both proteins, through X-ray crystallography.
  • A significant breakthrough occurred in 1969 when scientists discovered that a protein does not attempt to adopt various shapes; instead, it inherently knows the specific shape it needs to achieve and swiftly folds itself accordingly. This enigmatic ability of the protein is referred to as the protein-folding problem.
  • By the late 2010s, scientists had determined the structures of approximately 170,000 proteins—an impressive number, yet still a fraction compared to the estimated 200 million proteins found in nature. However, this scenario dramatically changed around 2018.
  • Proteins: These are long chains of amino acids that fold into specific shapes, which determine their functions. The sequence of amino acids (the primary structure) dictates how the protein folds into its secondary, tertiary, and quaternary structures
  • Proteins can have hundreds or thousands of amino acids, leading to an enormous number of possible configurations.
  • The process of folding involves many interactions (hydrogen bonds, hydrophobic interactions, ionic bonds, etc.) and is influenced by the protein's environment
  • Proteins do not fold randomly; they often follow specific pathways to reach their final functional form.
  • Understanding these pathways is crucial for predicting the folded structure from the amino acid sequence.
  • Improper folding can lead to non-functional proteins or proteins that aggregate, which can cause diseases such as Alzheimer’s, Parkinson’s, and certain types of cancer.
  • Understanding how proteins fold correctly is essential for developing treatments for these conditions.
 
4. What is AlphaFold?
 
AlphaFold is an advanced artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet Inc. Its primary purpose is to predict protein structures with remarkable accuracy based on their amino acid sequences.
 
Here’s a detailed overview of AlphaFold:
  • The protein-folding problem has been a long-standing challenge in biology, as understanding a protein's 3D structure is crucial for elucidating its function and role in various biological processes.
  • AlphaFold was first introduced in 2018 and gained significant attention for its performance in the Critical Assessment of protein Structure Prediction (CASP) competition, where it demonstrated the ability to predict protein structures more accurately than any previous method.
  • AlphaFold employs deep learning techniques, specifically neural networks, to predict the spatial arrangement of atoms in a protein.
  • It analyzes patterns in known protein structures from databases to learn how amino acid sequences correspond to their respective 3D shapes
  • AlphaFold has achieved a level of accuracy comparable to experimental methods, such as X-ray crystallography and nuclear magnetic resonance (NMR) spectroscopy, which are traditionally used to determine protein structures.
  • It can predict structures for proteins that are difficult to study experimentally, thus expanding the understanding of biology.
  • The program has the potential to accelerate research in various fields, including drug discovery, synthetic biology, and disease understanding.
  • By providing insights into protein functions and interactions, AlphaFold can aid in the development of new therapies and treatments
 
5.  Design of Protein
 
  • Protein design is the process of creating new proteins or modifying existing ones to achieve specific functions or characteristics. This field combines principles from biochemistry, molecular biology, and computational biology, enabling researchers to manipulate protein structures and functions
  • The design can be aimed at creating proteins with desired traits, such as increased stability, enhanced enzymatic activity, or specific binding capabilities
  • Rational Design: Involves using knowledge of protein structures and functions to make targeted changes to specific amino acids in a protein sequence.
  • Directed Evolution: This method mimics natural selection by introducing random mutations in a protein and then screening for variants with improved functions

Applications:

  • Therapeutics: Designing proteins for use as drugs, such as antibodies that target specific diseases or enzymes that facilitate metabolic processes.
  • Industrial Uses: Creating enzymes that work efficiently under extreme conditions for use in manufacturing processes.
  • Biotechnology: Developing proteins for applications in biofuels, agriculture, and environmental remediation.
 
 
For Prelims: Current events of national and international importance.
For Mains: General Studies III: Science and Technology- developments and their applications and effects in everyday life
 
Previous Year Questions
 
1.In the context of vaccines manufactured to prevent COVID-19 pandemic,
consider the following statements : (UPSC CSE 2022)
1. The Serum Institute of India produced COVID-19 vaccine named Covishield using mRNA platform.
2. Sputnik V vaccine is manufactured using vector based platform.
3. COVAXIN is an inactivated pathogen based vaccine.
Which of the statements given above are correct ?
A. 1 and 2 only
B. 2 and 3 only
C. 1 and 3 only
D. 1, 2 and 3
Answer (B)
 
 
Source: The Hindu
 
 

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