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What is your name?

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What is your organization/institution?

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What is your email address?

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What is your mobile phone number?

What is your current core role?

A. Biological mechanism / pharmacology researcher (focused on mechanism analysis and evidence verification)B. Market / competitive intelligence analyst (focused on competitor pipelines and R&D landscape)C. Patent analyst / IP specialist (focused on patent SAR logic and scope of protection)D. Computational chemistry / CADD / AI model R&D scientist (focused on computational tool selection and molecular design)E. Target project lead (coordinating multi-dimensional assessment across mechanism / market / patent / computation)F. R&D manager / project lead (overseeing project initiation decisions and R&D strategy)G. Other (please specify)

What are the most prominent challenges you face in your core work?

A. Biological mechanism research: literature is scattered, requiring extensive collection and cross-validationB. Market information gathering: data is fragmented, requiring integration from multiple sources with low efficiencyC. Patent analysis: manually drawing chemical structures and recording activity data; tedious SAR analysis; the design intent behind Markush structures and claims is hard to decipherD. Molecular design & optimization: unsure how to optimize molecules or which computation to run first (docking / MD / FEP), with long iteration cyclesE. Computational model pre-study: complex data preparation, tedious tool testing, and long modeling cyclesF. Target initiation: multi-dimensional information is difficult to integrate systematically, leading to long decision cyclesG. AI tools: information sources are unreliable and incomplete; tools are invoked without real judgment; conclusions lack consistencyH. Other (please specify)

Which core capability of PharmMaster are you most interested in?

A. Target research: multi-dimensional assessment producing a "decision card" ready for project initiation meetings — conclusions / evidence / risks / key assumptions / follow-up watchpoints in a single view; target initiation from 3 weeks → 3 daysB. Patent analysis: chemistry-level comprehension of a patent — example compounds / activity / Markush structures / claims all structured, with every value traceable to the source text, and the ability to infer PCC molecules not disclosed in the examples (94% structure accuracy / 99% activity accuracy)C. Molecular design & optimization: understand existing SAR and project constraints → propose modification strategies → generate candidate structures → invoke docking / MD / FEP verification as needed → output the next batch of candidate compoundsD. Natural-language access to computational power: agentification of hundreds of in-house computational tools such as Uni-Dock / Uni-FEP / Uni-QSAR — launch with a single sentence, with automatic tool selection and result interpretationE. Enterprise-exclusive agent workflows: connect your internal data / knowledge bases / computational tools / project workflows to PharmMaster, building reusable, long-term enterprise-exclusive agent workflowsF. Other (please specify)

How would you like to learn more about PharmMaster?

A. Online meeting with a detailed product walkthroughB. One-on-one discussion of your needs with our technical teamC. Detailed user manuals and case tutorialsD. Join the user community for exchangesE. Learn about FDE co-building / private deployment optionsF. Other (please specify)

Do you have any other suggestions for our platform?

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PharmMaster AI Drug Research Assistant – Trial Application & Needs Survey