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CORE COURSE – I
Biology of Cells: Prokaryotic and Eukaryotic cells - E. coli and Yeast; Cell organelles and their functions, Differences and similarities in plant and animal cells, Principles of Membrane organization, Membrane proteins, Cell transport, Cell division - mitosis, meiosis- cell cycle; Enzymes- classification, structure, Mechanism of action.
Cell Energetics and respiration: Energy - life's driving force; energy capture – photosynthesis; role of ATP in energy cycle - Glycolysis, TCA cycle, Oxidative phosphorylation; Fats and protein as alternate energy sources, Key biomolecules - lipids, polysaccharides, proteins, nucleic acids.
Chromosome structure in Prokaryotes and Eukaryotes, Structures of DNA - Watson and Crick model, Different conformations, Replication; RNA secondary structure; Central dogma of molecular biology-Transcription, Post – transcriptional modifications, codon and anticodon concepts, Translation and Post–translational modifications; Mutation-Types, Molecular mechanism- DNA repair mechanism- Gene regulation- operon concept - lac, trp.
Basics of recombinant DNA technology - Introduction to cloning, gene selection, restriction enzymes-a brief account; cloning vectors – plasmid, phage vectors, cosmids, shuttle vectors; DNA transformation; methods of clone selection and screening. Hybridization techniques-Southern-Northern-Western blots analysis and their applications.
DNA sequencing- Maxam-Gilbert, Sanger methods, automated DNA sequencing. PCR, RFLP and RAPD techniques, bio-chips and DNA finger printing, Applications of recombinant DNA technology - commercial aspects of recombinant proteins.
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Reference Books :
CORE COURSE – II
PROGRAMMING IN C
Computer Introduction: Overview and functions of a computer System. Input and output devices. Storage devices: Hard Disk, Diskette, Magnetic Tape, CD-ROM, DVD, Main Board: Chips, Ports, Expansion Slots. Memory: Register, buffer, RAM / ROM, Types of Computer on usage and capability.
Types of Software – operating systems, application program – tools, packages , Networks – LAN, WAN, MAN – Routers, Hubs. Concepts of flowchart, algorithm – Programming Techniques.
‘C’ programming: Data types, operators and expressions, Hierarchy of operators Declaring Variable and constants, Control statements including decision (if, if-else), loops (while, do-while, for), branching (switch, break, continue), Iterative statements, Functions – Simple, recursive functions, library functions – arguments.
Arrays – one dimension, two dimension, string and numeric, Pointers, array of pointers, Pointer to pointer, File Operations in C – read, write, append – Sequential and random files. Opening and closing of files for data.
Structures, unions, storage classes, dynamic memory allocation, macros and preprocessor directives, command line arguments.
CORE COURSE – III
C Programming – Lab
1. C Basic Input / Output Functions
2. Arrays Concepts
3. Example for Structure
4. Sample program for Pointers
5. Illustration of Conditional Statements
6. Explaining Looping Statements
7. Functions – recursive, library functions
8. Dynamic memory Allocation
9. Data Structure operations like stacks and queues
10. File Operations including read, write and appending records
CORE COURSE – IV
BIOSTATISTICAL AND MATHEMATICAL TECHNIQUES
BIOSTATISTICS – Introduction – Applications, Collection of Data: Sampling techniques, Graphical and diagrammatic representation.
CENTRAL TENDENCY – Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Mode
DISPERSION – Importance, range, Mean Deviation, Variance, Standard Deviation
CORRELATION – types & measures, Karl Pearson, Scatter Diagram, Rank Correlation, Correlation for bivariate frequency distribution, REGRESSION - types, measures, Testing of hypothesis, ANOVA – One way, Two way, STUDENT ‘t’ tests for mean and difference of mean, CHI SQUARE distribution: independent of attributes, goodness of fit.
PROBABILITY – Basic Laws: Events, Sample Space, Addition Rule, multiplication Rule, Random Variable, Probability Distribution, NORMAL Distribution, BINOMIAL Distribution, Poisson distribution, Introduction to Hidden Markov model
CALCULUS – Basics, Differentiation of algebraic functions, Trigonometric functions, Integrations – simple problems, properties of definite integrals , Uses of table of Integrals, Numerical differentiations – Euler’s method, R-K second order method, Numerical integration: Trapezoidal and Simpson 1/3 rule.
MATRIX – Types, Inverse, Algebra, Simultaneous Equations, Determinant, Eigen Values , Rank of a matrix. VECTORS – Operations, Scalar, Vector Product, Vector Calculus, Scalar Triple Product, Divergence, Curl of Vector.
CORE BASED ELECTIVE COURSE – I
BIOPHYSICS AND STEREOCHEMISTRY
Parameters to describe a structure: bond angle, bond length and bond strength. Levels of structure description: primary, secondary, tertiary and quarternary structures. Forces deciding the molecular structures: inter and intramolecular forces – hydrogen bonding, hydrophobic interactions and water structure, ionic interactions, disulphide bonds.
Forces driving the molecular structures: Conformation, potential energy calculations, potential well, L-J curve, time scales and energy criteria, conformational principles, conformational space. Types of movements: vibrational, rotational, torsion angles; Conformational analysis, calculation of surface areas, Volumes and radius of biomolecules.
Nucleic acids - structural characteristics of nucleic acids – geometry of glycosidic bond, rotational isomers, sugar puckering; forces stabilizing the structures - base pairing, base stacking. Tertiary structure of nucleic acids; chemical bonds in biomolecules – hydrogen bond, peptide bond, phosphate bond.
Stereochemistry: Principles - Chirality, Symmetry in organic compounds, Molecular isomerism, polypeptide chain geometries - Ramachandran plot, observed values for rotation angles, prediction of protein structure.
Application of sterochemical principles: Conformation of open chain compounds, chiral compounds, Macromolecular stereochemistry, Determination of relative and absolute configuration.
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