Company: EVGN
Filing Date: 2025-03-27
Form Type: 20-F
Source: 0001178913-25-001092
Chunk: 72

Company: Evogene Ltd.
Filing Date: 2025-03-27
Form: 20-F
Item: Item 4
Chunk 72
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 is referred to in the industry as a Lead, at the end of the discovery stage, or further along the development pipeline, these product candidates gain increased value and can be candidates for licensing to ag-chemical companies. A typical licensing agreement can include upfront payments, payments upon achievement of pre-defined development milestones, and royalties from product sales.
 
R&D collaborations – early-stage collaborations, providing a tailored product offering per partner and product type, in order to build long-term research and development relationships and to mitigate the risk associated with building an independent pipeline. A typical collaboration agreement may include upfront payments, R&D payments, payments upon achievement of pre-defined development milestones, and royalties from product sales, which would typically be lower than the royalties under licensing agreements. AgPlenus may use collaboration partners for certain aspects along the development pathway.
 
Currently, AgPlenus’ revenues are derived from research and development payments under early-stage collaborations with Corteva. In the longer term we expect that: (i) as AgPlenus’ product candidates advance through development in our partners’ pipelines, and to the extent that they are commercialized by AgPlenus’ collaboration partners, revenues are expected to include milestone payments and royalty payments; and (ii) as AgPlenus’ internal pipeline product candidates further advance, AgPlenus will license its product candidates.
   
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https://www.gminsights.com/industry-analysis/crop-protection-chemicals-market#:~:text=Crop%20Protection%20Chemicals%20Market%20was,impact%20crop%20yields%20and%20quality
Product Development Programs
 
Scientific Approach
 
AgPlenus’ approach is based on the disruption of the traditional methods of ag-chemical discovery and optimization by implementing a target-based approach for identifying and developing new MoA crop protection products to address the growing resistance of pests (weeds, insects, and fungi) to existing commercial products. AgPlenus utilizes mainly Evogene’s ChemPass AI tech engine, as well as other advanced computational technologies and know-how, to drive its ag-chemical discovery.
 
AgPlenus’ approach typically begins with the computational and research-driven identification of protein ‘targets’, which are proteins that are essential to the function of performance of the relevant weed, insect or fungi. Following the identification and validation of such targets, AgPlenus identifies candidate Hits, which are chemical compounds (small molecules) that potentially inhibit these targets. AgPlenus screens candidate Hits to identify those that