ACS OmegaBioinformaticsPeer-reviewed journal article
Molecular Glue-Design-Evaluator (MOLDE): An Advanced Method for In-Silico Molecular Glue Design
Ben Geoffrey A SiD, Deepak AgrawaliD, Nagaraj M. KulkarniiD, Manonmani Gunasekaran
Abstract
Protein function modulation using small molecule binding is an important therapeutic strategy for many diseases. However, many proteins remain undruggable due to lack of suitable binding pockets for small molecule binding. Proximity induced protein degradation using molecular glues has recently been identified as an important strategy to target undruggable proteins. Molecular glues were discovered serendipitously and as such currently lack an established approach for in-silico driven rationale design. In this work, we aim to establish an in-silico method for designing molecular glues. To achieve this, we leverage known molecular glue-mediated ternary complexes and derive a rationale for in-silico design of molecular glues. Establishing an in-silico rationale for molecular glue design would significantly contribute to the literature and accelerate the discovery of molecular glues for targeting previously undruggable proteins. Our work presented here and named as Molecular Glue-Designer-Evaluator (MOLDE) contributes to the growing literature of in-silico approaches to drug design in-silico literature.
- assay: protein structure
- research focus: drug response / drug discovery
- research focus: protein design
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 23
- FWCI
- 6.87
- Field percentile
- top 2%
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