Design and Selection of Novel C1s Inhibitors by In Silico and In Vitro Approaches

Molecules

卷:24

Balázs Balogh¹  Chiara Pirli¹  IstvánM. Mándity¹  Péter Závodszky²  Péter Gál²  Júlia Balczer²  Katalin Szilágyi³  István Hajdú³  Sándor Cseh³  Zsolt Lőrincz³  Beáta Flachner³  György Dormán³ 

[1] Department of Organic Chemistry, Faculty of Pharmacy, Semmelweis University, Hőgyes Endre u. 7, H-1092 Budapest, Hungary;

[2] Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2., H-1117 Budapest, Hungary;

[3] Targetex Biosciences, Madách Imre utca 31/2., H-2120 Dunakeszi, Hungary;

关键词: complement system;    virtual screening;    c1s inhibitor;    factorxa;    biological screening;    pharmacophore modelling;   

DOI  :  10.3390/molecules24203641

来源: DOAJ

【 摘 要 】

The complement system is associated with various diseases such as inflammation or auto-immune diseases. Complement-targeted drugs could provide novel therapeutic intervention against the above diseases. C1s, a serine protease, plays an important role in the CS and could be an attractive target since it blocks the system at an early stage of the complement cascade. Designing C1 inhibitors is particularly challenging since known inhibitors are restricted to a narrow bioactive chemical space in addition selectivity over other serine proteases is an important requirement. The typical architecture of a small molecule inhibitor of C1s contains an amidine (or guanidine) residue, however, the discovery of non-amidine inhibitors might have high value, particularly if novel chemotypes and/or compounds displaying improved selectivity are identified. We applied various virtual screening approaches to identify C1s focused libraries that lack the amidine/guanidine functionalities, then the in silico generated libraries were evaluated by in vitro biological assays. While 3D structure-based methods were not suitable for virtual screening of C1s inhibitors, and a 2D similarity search did not lead to novel chemotypes, pharmacophore model generation allowed us to identify two novel chemotypes with submicromolar activities. In three screening rounds we tested altogether 89 compounds and identified 20 hit compounds (<10 μM activities; overall hit rate: 22.5%). The highest activity determined was 12 nM (1,2,4-triazole), while for the newly identified chemotypes (1,3-benzoxazin-4-one and thieno[2,3-d][1,3]oxazin-4-one) it was 241 nM and 549 nM, respectively.

【 授权许可】

Unknown