S5

- Enseignante METCHAT Fatima-Zahra: METCHAT Fatima-Zahra
Bioinformatique, désignée comme « Science multi-disciplinaire » impliquant la biologie, l’informatique, les mathématiques, les statistiques dont l’objectif est d’analyser les séquences biologiques et de prédire la structure et la fonction des macromolécules.
De plus en plus, la bioinformatique est développée dans un but d’application à l’agriculture, la pharmacologie et la médecine.
Bioinfortmatique résumée en quelques mots :
- Approche in silico de la biologie
- Un outil indispensable aux biologistes
- Un nouveau domaine de recherche avec trois activités principales :
- Acquisition et organisation des données biologiques
- Conception de logiciels pour l’analyse, la comparaison et la modélisation des données
- Analyse des résultats produits par les logiciels
- Teacher: Abdul-Hussain Alia Simona
) or small organic molecules. Complex organic cofactors synthesized or derived from vitamins are called coenzymes. When a cofactor is tightly bound (sometimes covalently), it is often called a prosthetic group.
and bicarbonate.
)
from substrates.
4.4.
Regulation of catalytic activity
Cells regulate enzyme activity to adjust metabolic fluxes to physiological needs. Modulators include:
· Activators that increase activity.
· Inhibitors that decrease activity.
· Allosteric effectors that bind regulatory sites and shift enzyme conformation.
· Covalent modifications (e.g., phosphorylation), which can switch enzymes on/off or tune activity.
· Changes in enzyme abundance (gene expression, degradation).
Example:
· • Phosphofructokinase (PFK) is activated by AMP and inhibited by ATP, linking glycolytic flux to cellular energy status.
5. Enzyme Classification
The International Union of Biochemistry and Molecular Biology (IUBMB) established a systematic classification (EC numbers). Enzymes are grouped into major classes based on the type of reaction catalyzed.
|
Class |
Name |
Typical reaction |
|
1 |
Oxidoreductases |
Redox reactions (electron transfer) |
|
2 |
Transferases |
Transfer of functional groups (e.g., phosphate, methyl) |
|
3 |
Hydrolases |
Hydrolysis (bond cleavage with water) |
|
4 |
Lyases |
Addition to double bonds / formation of double bonds without hydrolysis or oxidation |
|
5 |
Isomerases |
Intramolecular rearrangements (isomerization) |
|
6 |
Ligases (synthetases) |
Formation of new bonds (C–C, C–N, C–S) coupled to ATP hydrolysis |
Each enzyme is assigned an EC number with four digits: the first digit indicates the class, followed by subclass, sub-subclass, and a serial identifier for the specific enzyme.
6. The Enzyme Active Site
The active site is a specialized region—often a pocket or cavity—where substrate binding and catalysis occur. Substrate recognition relies mainly on noncovalent interactions (hydrogen bonds, ionic interactions, van der Waals forces, and hydrophobic effects). These interactions are individually weak but collectively strong and highly specific.
The active site is commonly divided into:
· Binding (recognition) site: ensures shape and chemical complementarity with the substrate.
· Catalytic site: contains residues and cofactors directly involved in bond breaking/forming.
Types of amino acids contributing to active-site function (functional view):
· Structural (contributor) residues: help maintain the correct 3D architecture required for ligand binding.
· Auxiliary residues: allow mobility and local conformational adjustments near the active site.
· Contact/catalytic residues: directly participate in catalysis (e.g., acid–base chemistry, nucleophilic attack) and interact with key substrate groups.
Many enzymes stabilize the transition state more strongly than the substrate, which is a major reason they lower activation energy.
7. Enzyme–Substrate Interaction Models
Enzymatic catalysis begins with substrate binding to the active site, forming an enzyme–substrate (ES) complex. Several conceptual models describe how enzymes recognize substrates and achieve catalysis.
7.1. Fischer’s lock-and-key model
In this classical model, the active site is considered pre-formed and complementary in shape to the substrate—like a key fitting into a lock. It highlights specificity but does not fully account for protein flexibility.
7.2. Koshland’s induced-fit model
In the induced-fit model, substrate binding triggers conformational changes in the enzyme. These changes optimize interactions and align catalytic groups for the reaction. This model better explains enzyme flexibility and many cases of high specificity.
7.3. Strain (Jencks) model / transition-state stabilization
This perspective emphasizes that binding can distort (strain) the substrate and/or enzyme toward a transition-state-like geometry, reducing the activation energy. The enzyme effectively ‘pays’ some energetic cost through binding energy to facilitate catalysis.
- Teacher: hamzi wahiba
This module offers 3rd-year Biochemistry students a comprehensive introduction to the essential experimental techniques used across modern biological and biomedical sciences. It covers the main methodological pillars of biochemical analysis, beginning with fundamental laboratory approaches and progressing toward more advanced and specialized techniques.
- Teacher: Chalal Dr
