The document discusses the TCIM protein and its role in various cancers. It then provides an overview of computer-aided drug design (CADD) and the drug design process which involves designing molecules that are complementary in shape and charge to a biological target. The work cycle for drug design is described as involving TCIM sequence analysis, structure prediction, molecular docking and computer-aided design. Computational pathways and processes like virtual screening are used for novel drug design.

1. Current Bioinformatics trend in Drug
design
By: Khansa Asad

2. Introduction:
• TCIM protein
• Official symbol: TCIM
• Official full name : Transcriptional and immune response regulator
• Transcriptional And Immune Response Regulator
• Thyroid Cancer Protein 1
• Human Thyroid Cancer.
• Plays a role in the regulation of hematopoiesis even if the mechanisms are
unknown (By similarity).
• In cancers such as thyroid or lung cancer, it has been described as promoter of
cell proliferation, G1-to-S-phase transition and inhibitor of apoptosis.
• Involved in the regulation of heat shock response
• Amino acid composition:106 amino acid.

3. How to drug design in Bioinformatics?
 COMPUTER-AIDED DRUG DESIGN (CADD) is a specialized discipline that uses
computational methods to simulate drug-receptor interactions.
 CADD methods are heavily dependent on bioinformatics tools, applications and
databases.
 Pharmaceutical companies are always searching for new leads to develop
into drug compounds.
 In the most basic sense, drug design involves the design of molecules that are
complementary in shape and charge to the bio-molecular target with which they
interact and therefore will bind to it.
 Drug design frequently but not necessarily relies on computer modeling techniques

4. Work cycle
01
TCIM
02
Sequence
analysis
03
Structure
prediction
04
Molecular
Docking
04
Computer aided
drug design

5. Computational pathway to drug design

6. Main process of potential drug

7. Virtual screening for novel drug design:

8. Conclusion:
In conclusion, the in silico analyses o have higher probability and efficacy on
the basis of binding energy and other used parameters. The uniform results
clearly described the 3D structure. The docking studies have been
conducted with the purpose of ligand based, to predict the binding mode of a
ligand with selected 3D protein structure.