Drug Discovery: Old realities meet with new modalities

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* 1. What modality therapeutic research category do you find yourself within drug discovery?

Antibody

Peptide/Protein

DNA/RNA

Small molecule

Vaccine

Cell Therapy

Gene Therapy

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* 2. How well does your current digital infrastructure support multi-modality research and collaboration?

Extremely well

Very well

Moderately well

Slightly well

Not well

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* 3. What do you consider the biggest challenge in adopting multimodal drug discovery strategies?

Challenges in global collaboration and communication across teams

Lack of in-house expertise across various modalities

Difficulty creating and maintaining fit-for-purpose databases for new modality drugs

Difficulty in establishing collaborative partnerships

Regulatory uncertainties surrounding new modalities

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* 4. If you could change one thing that would unlock the greatest outcome in developing your specific modality drug it would be...?

Clearer communication and collaboration tools

Decrease and shorten development costs and timelines

Creating simple to use and comprehensive databases

Improve overall understanding of cross team data transfers and their implications

Other (please specify)

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* 5. In your experience within your organization, which factor is the most critical for successful drug discovery in the context of new modalities?

Effective collaboration and communication across domains

Integrated digital systems for data and process management

AI-driven research and analysis

Comprehensive databases with metadata and experimental contexts

Scalability and translational endpoints in R&D and clinical data

Other (please specify)

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* 6. How important is it to have a unified platform that supports various drug modalities in your research?

Extremely important

Very important

Moderately important

Slightly important

Not important

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* 7. Which aspect of your drug discovery strategy would benefit the most from improved digital solutions?

Data integration and management

Collaboration and communication tools

AI-driven research capabilities

Experimental context and metadata organization

Scalability and translational research support

Other (please specify)