There is a need for deeper fundamental research on the relationships between protein sequence, structure, functionality, and ultimately performance in plant-based food products. While several plant-based companies have claimed a competitive advantage from building databases of functional properties and applying machine learning to inform protein selection and formulation, these capabilities remain proprietary and the efforts duplicative. An open-access database could provide functional and characterization data using standardized methods to facilitate direct performance comparisons among proteins and train predictive algorithms.
Demand forecasts impact investments in R&D, infrastructure, personnel, and partnerships that will be necessary to participate in and accelerate the alternative protein sector.
Targeted events enable greater opportunities for meaningful participation and communication between participants. They may also be especially useful for addressing specific subject matter areas or convening stakeholders with expertise in particular aspects of the alternative protein value chain to channel concerted brainstorming efforts toward actionable solutions in the form of active workshops rather than traditional conferences.
Creating an online, open-access decision matrix tool that ranks popular seafood-relevant species against each other based on several criteria such as market size, per-unit price, sustainability of conventional production practices, animal welfare considerations, and consumer receptivity to alternative seafood products of that species.