News
Fragment Linker Prediction Using the Deep Encoder-Decoder Network for PROTACs Drug Design
We are thrilled to share AnHorn Medicines latest paper has been published in the Journal of Chemical Information and Modeling.
This paper highlights the transformative potential of our deep neural network, AIMLinker, in the field of drug discovery for PROTAC design.
AIMLinker demonstrates remarkable capabilities in designing and generating drug-like proteolysis targeting chimeras (PROTACs) analogs with significant implications for therapeutic development. By focusing on the CRBN-dBET6-BRD4 ternary complex, we utilized our AIMLinker model to devise innovative compounds for PROTACs molecules, thereby enhancing their chemical properties.
For those interested in delving into the details of our research, the complete paper is available for download at the following link: https://lnkd.in/gFe4FspV
We are thrilled to contribute to the scientific community through this publication and look forward to further advancements in the realm of drug design and discovery.
If you have any idea for collaboration, please feel free to reach at anhorn01@anhornmed.com