AI-ACCELERATED DRUG DISCOVERY

GEL complex subunit OPTI

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

GEL complex subunit OPTI - Focused Library Design

Available from Reaxense

This protein is integrated into the Receptor.AI ecosystem as a prospective target with high therapeutic potential. We performed a comprehensive characterization of GEL complex subunit OPTI including:

1. LLM-powered literature research

Our custom-tailored LLM extracted and formalized all relevant information about the protein from a large set of structured and unstructured data sources and stored it in the form of a Knowledge Graph. This comprehensive analysis allowed us to gain insight into GEL complex subunit OPTI therapeutic significance, existing small molecule ligands, relevant off-targets, and protein-protein interactions.

 Fig. 1. Preliminary target research workflow

2. AI-Driven Conformational Ensemble Generation

Starting from the initial protein structure, we employed advanced AI algorithms to predict alternative functional states of GEL complex subunit OPTI, including large-scale conformational changes along "soft" collective coordinates. Through molecular simulations with AI-enhanced sampling and trajectory clustering, we explored the broad conformational space of the protein and identified its representative structures. Utilizing diffusion-based AI models and active learning AutoML, we generated a statistically robust ensemble of equilibrium protein conformations that capture the receptor's full dynamic behavior, providing a robust foundation for accurate structure-based drug design.

 Fig. 2. AI-powered molecular dynamics simulations workflow

3. Binding pockets identification and characterization

We employed the AI-based pocket prediction module to discover orthosteric, allosteric, hidden, and cryptic binding pockets on the protein’s surface. Our technique integrates the LLM-driven literature search and structure-aware ensemble-based pocket detection algorithm that utilizes previously established protein dynamics. Tentative pockets are then subject to AI scoring and ranking with simultaneous detection of false positives. In the final step, the AI model assesses the druggability of each pocket enabling a comprehensive selection of the most promising pockets for further targeting.

 Fig. 3. AI-based binding pocket detection workflow

4. AI-Powered Virtual Screening

Our ecosystem is equipped to perform AI-driven virtual screening on GEL complex subunit OPTI. With access to a vast chemical space and cutting-edge AI docking algorithms, we can rapidly and reliably predict the most promising, novel, diverse, potent, and safe small molecule ligands of GEL complex subunit OPTI. This approach allows us to achieve an excellent hit rate and to identify compounds ready for advanced lead discovery and optimization.

 Fig. 4. The screening workflow of Receptor.AI

Receptor.AI, in partnership with Reaxense, developed a next-generation technology for on-demand focused library design to enable extensive target exploration.

The focused library for GEL complex subunit OPTI includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

GEL complex subunit OPTI

partner:

Reaxense

upacc:

Q9BUV8

UPID:

RCAF1_HUMAN

Alternative names:

Obligate partner of TMCO1 insertase; Rab5-interacting protein; Respirasome Complex Assembly Factor 1

Alternative UPACC:

Q9BUV8; E1P5U0; O00605; Q5QPG6; Q5QPG7; Q9BT03; Q9BZU7; Q9UI05

Background:

GEL complex subunit OPTI, also known as Obligate partner of TMCO1 insertase, Rab5-interacting protein, and Respirasome Complex Assembly Factor 1, plays a crucial role in cellular processes. It is a component of the multi-pass translocon (MPT) complex, facilitating the insertion of multi-pass membrane proteins into the lipid bilayer. This protein also acts as an assembly factor for mitochondrial respiratory complexes, highlighting its importance in cellular respiration and energy production.

Therapeutic significance:

GEL complex subunit OPTI is linked to Craniofacial dysmorphism, skeletal anomalies, and impaired intellectual development syndrome 2, a disorder with significant genetic underpinnings. Understanding the role of GEL complex subunit OPTI could open doors to potential therapeutic strategies, offering hope for targeted interventions in this and related conditions.

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