Date published: 2025-10-25

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KIAA1305 Inhibitors

Should a protein encoded by a gene named "KIAA1305" be identified and characterized, the development of inhibitors targeting this protein would require an intensive research effort to understand its structure and role within a cellular context. This would involve delineating the protein's amino acid sequence, tertiary structure, and functional domains. Research tools like bioinformatics algorithms could predict the structure and possible functions based on sequence homology, while empirical methods such as X-ray crystallography, NMR spectroscopy, or cryo-electron microscopy would provide direct insights into the protein's three-dimensional conformation. With structural data in hand, scientists would be able to identify potential binding pockets or active sites that are suitable targets for small-molecule inhibitors.

The identification of such binding sites would enable a targeted approach to designing molecules that could interact with the "KIAA1305" protein in a manner that modulates its activity. Screening processes involving compound libraries could be utilized to discover initial molecules that show an affinity for the protein. High-throughput screening techniques could rapidly test thousands of compounds for interaction with the protein, leading to the identification of potential lead compounds. Subsequent optimization of these lead compounds would focus on improving their specificity and binding strength. Structure-activity relationship (SAR) studies would play a key role in this process, guiding the medicinal chemists in modifying the chemical structures to enhance their interaction with the protein. Computer-aided drug design (CADD) could complement empirical methods by simulating how different chemical modifications may affect inhibitor binding. This iterative process would aim to develop compounds that can reliably and specifically interact with the "KIAA1305" protein, thereby offering a set of molecular tools for further investigation of the protein's function.

SEE ALSO...

Product NameCAS #Catalog #QUANTITYPriceCitationsRATING

Raltegravir

518048-05-0sc-364600
sc-364600A
sc-364600B
sc-364600C
sc-364600D
5 mg
50 mg
100 mg
500 mg
1 g
$100.00
$821.00
$1229.00
$2861.00
$4085.00
21
(1)

Inhibits retroviral integrase by binding to its active site, could potentially inhibit proteins with similar domains.

3′-Azido-3′-deoxythymidine

30516-87-1sc-203319
10 mg
$60.00
2
(1)

A nucleoside analog that inhibits reverse transcription, might indirectly affect proteins involved in retroviral processes.

Edoxaban

480449-70-5sc-483508
25 mg
$522.00
(0)

As an anticoagulant, it inhibits factor Xa; by analogy, could inhibit NYN domain proteins if they share mechanistic features.

S/GSK1349572

1051375-16-6sc-364605
sc-364605B
sc-364605A
5 mg
50 mg
200 mg
$367.00
$1484.00
$4131.00
(0)

Specifically inhibits HIV integrase, and might affect similar domains in other proteins.

Nevirapine

129618-40-2sc-208092
5 mg
$97.00
5
(1)

It is a non-nucleoside reverse transcriptase inhibitor; could indirectly impact proteins in retroviral assembly/processing.

Efavirenz

154598-52-4sc-207612
10 mg
$168.00
3
(1)

Another non-nucleoside reverse transcriptase inhibitor; could have secondary effects on retroviral and associated protein processing.

Ribavirin

36791-04-5sc-203238
sc-203238A
sc-203238B
10 mg
100 mg
5 g
$62.00
$108.00
$210.00
1
(1)

An antiviral drug that interferes with nucleotide synthesis; could potentially impact RNA-binding or processing proteins.

Sofosbuvir

1190307-88-0sc-482362
25 mg
$143.00
1
(0)

A nucleotide analog that inhibits hepatitis C virus RNA polymerase; may have off-target effects on similar domains in other proteins.

Lopinavir

192725-17-0sc-207831
10 mg
$129.00
6
(1)

An HIV protease inhibitor, which could affect other proteins with protease-like domains.