Software and data for docking and pharmacology
Shoichet/Irwin Lab Software (docking.org) earns a Brand Analyzer score of 69 out of 100, placing it in the Developing tier among Healthcare brands, Technology brands. Among 2305 Healthcare brands analyzed, Shoichet/Irwin Lab Software ranks in the 56th percentile (category average 68, leader 95). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 80/100, Digital Presence 82/100, Visual Identity 85/100, Messaging Clarity 100/100, Trust Foundation 72/100, AI Discoverability 40/100, Brand Authority 36/100.
Shoichet/Irwin Lab Software, accessible at docking.org, is a computational chemistry initiative from UCSF labs. It develops and distributes DOCK software, which poses and scores small molecules in protein binding sites to support drug discovery. The lab combines computation and experiment to bring chemical reagents to biology. Its tools and databases also support systems pharmacology research, serving computational chemists, biologists, and drug discovery researchers.
| Brand Name | Shoichet/Irwin Lab Software |
|---|---|
| Domain | docking.org |
| Industry | Healthcare, Technology |
| Main Competitors | Schrödinger (87/100), OpenEye Scientific (81/100), Chemical Computing Group (MOE) (54/100), BioSolveIT, Glide (Schrödinger) (87/100), AutoDock (Scripps Research) |
Moz Domain Authority 43/100 vs category average 29 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #117,632 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Web site created using create-react-app" (Meta description: 5 words. No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on LinkedIn, Instagram, YouTube, GitHub; no detected presence on X (Twitter), Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Shoichet/Irwin Lab Software scores 30/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Shoichet/Irwin Lab Software has a weak AI-visibility profile at 30/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #117,632 (Tranco) and a Moz Domain Authority of 43/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Shoichet/Irwin Lab Software's main competitors include Schrödinger, OpenEye Scientific, Chemical Computing Group (MOE) (54/100), BioSolveIT, Glide (Schrödinger). These companies compete in the Healthcare space for similar customers, offering comparable products or services.
Shoichet/Irwin Lab Software and Chemical Computing Group (MOE) are competitors in Healthcare. Brand Analyzer scores Shoichet/Irwin Lab Software at 69/100 and Chemical Computing Group (MOE) at 54/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Shoichet/Irwin Lab Software offers DOCK, a computational docking program that poses and scores small molecules in protein binding sites, sampling millions of poses with advanced scoring functions for ligand discovery. Beyond DOCK itself, the platform provides additional tools and databases designed to support systems pharmacology research, all accessible through docking.org.
Popular alternatives to Shoichet/Irwin Lab Software include Schrödinger, OpenEye Scientific, Chemical Computing Group (MOE) (54/100), BioSolveIT, Glide (Schrödinger). Each is an established option in the Healthcare space; the best fit depends on your specific needs, budget, and required features.
Shoichet/Irwin Lab Software has limited AI-search visibility, scoring 30/100 on Brand Analyzer's AI visibility composite (visibility 22, trust 22, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Shoichet/Irwin Lab Software develops and provides DOCK, a computational docking program that poses and scores small molecules in protein binding sites. The software samples millions of molecular poses using advanced scoring functions to identify potential drug candidates. In addition to DOCK, the platform offers tools and databases that support systems pharmacology research, helping researchers computationally screen large chemical libraries against biological targets.
Shoichet/Irwin Lab Software scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Shoichet/Irwin Lab Software is known for the DOCK software suite, a widely used computational tool that samples and scores millions of small-molecule poses within protein binding sites to support ligand and drug discovery. The platform is also recognized for providing tools and databases that advance systems pharmacology research, and for combining computational and experimental approaches from UCSF labs.
Shoichet/Irwin Lab Software is used by computational chemists, biologists, and researchers working in drug discovery and systems pharmacology. These users leverage DOCK and associated tools to computationally screen small molecules against protein targets, supporting the identification of potential drug candidates and the study of pharmacological systems.
Shoichet/Irwin Lab Software can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Shoichet/Irwin Lab Software is popular among computational chemists, biologists, and drug discovery researchers because DOCK software enables the sampling of millions of small-molecule poses in protein binding sites with advanced scoring, making large-scale virtual screening feasible. The platform's tools and databases also support systems pharmacology research, addressing a broad range of research needs in academic and pharmaceutical settings.
Ranked closest to Shoichet/Irwin Lab Software: DocDoc (69/100), DICHIR (69/100), Dove (69/100), Dräger (69/100).
A step up - brands to learn from: Zipari by mPulse (71/100), Zaina AI (71/100).
Category leader: Dassault Systèmes (95/100).