Docking in the unknown

webinar

Wed, 10 Jul 2019, 11:00 CEST (Berlin)

Wolfgang B. Fischer, Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan

Docking in the unknown

In many cases the binding site of a ligand with its target is known from experiments before docking approaches are used. In this case, the search space can be limited when looking for therapeutic ligands. As a consequence, the speed of screening is enhanced. In other cases, a therapeutic ligand shows good effects on the target but no or limited structural information of that target is available, especially in the presence of the ligand. Consequently, novel strategies of how to approach this issue with existing software is of need.

Up to nine putative therapeutic ligands are used in various docking protocols, which also includes the application of different docking software, searching for unknown binding sites on the target. The target is the viral channel forming protein (viroporin) p7 of hepatitis C virus. Protein p7 consists of two transmembrane domains separated by a short loop. In its functional form it is shown to exist genotype dependent as a homo hexamer or heptamer. The protein is vital to the survival of the virus.

Current news

category
Events
BioSolveIT at 34th GP2A 2026 Conference on Medicinal Chemistry in Gothenburg
December 17, 2025 15:19 CET
BioSolveIT is honored and excited to participate in the 34th GP2A 2026 Conference on Medicinal Chemistry in Gothenburg. From August 26 to 28, 2026, the Group for the Promotion of Pharmaceutical Chemistry in Academia (GP2A), a member-led network of academic medicinal chemists working at universities and research institutes in Europe,...
Read on
BioSolveIT wrapped 2025
December 15, 2025 06:18 CET
Our Year in Drug Discovery In 2025, we focused on bridging the gap between computational prediction and compound tangibility. Along the way we refined and evolved our platforms to ensure that drug discovery is not only faster, but also more accessible and reliable for researchers everywhere. This year saw the...
Read on
category
Challenge
Emina Yekt Yilmaz Wins Scientific Challenge Winter 2024!
December 9, 2025 14:52 CET
It is our greatest pleasure to announce the winner of the Winter 2024 edition of the Scientific Challenge: the winner is Emine Yekta Yilmaz from Haceteppe and Gazi Universities (Ankara, Turkey) with her project ‘Leveraging AI and Physics-Based Screening for the Identification of sEH Inhibitors’. Based on standardized compound datasets...
Read on