Microbes, small molecules and genetic-elements can be applied to a wide variety of products within human health, agriculture and industrial applications.
Discovery. Development. for life-science products based on microbes, small molecules and genetic elements.
We specialize in the discovery & development of:
MicroBoost AI is a leading solution for the discovery and development of microbial products for human health, agriculture and industrial applications. By using a set of innovative, computational biology tools, derived by a successfully validated approach, we can drive your microbial product all the way from product definition to commercialization.
MicroBoost AI identifies product-relevant microbes designed to not only pass initial activity tests, but to be developed into a commercial product.
MicroBoost AI’s innovative function-based approach and proprietary microbial function catalog, enable the identification of novel microbial candidates, hidden to other microbial discovery platforms.
MicroBoost AI not only identifies high-potential product-specific candidates, but also pinpoints the biological reasoning behind its selection, improving the chances of the initial microbial hit to pass the subsequent optimization and the development phases.
MicroBoost AI presents a function-based approach identifying the most suitable solution for challenges along product development. Product challenges are addressed without impairing other product attributes already achieved.
By using a very large unique microbial database, integrated with challenge-related experimental data, MicroBoost AI suggests various development strategies such as microbial consortia design, chemical components additions, single-nucleotide-variant level analysis and more, to boost your product all the way through development phases.
of microbiome samples, microbial isolates and related metadata, enabling the discovery of novel, previously inaccessible microbial products.
Proprietary, high resolution and high coverage functions catalog and function-based methodology, allowing rational discovery and development.
Product-associated machine learning (ML) algorithms spotlight hidden, but highly desirable product characteristics
What microbes should be given as a treatment or be neutralized in order to treat a certain disease?
Which individuals would respond to a specific medical treatment?
Which individuals are at risk for a certain disease?
What microbes can be sprayed in the field to serve as bio-insecticides?
How can the leaf establishment of a bacterial product be improved?
How can a probiotic product for increasing milk production in cows be designed?
How can the amount of a certain metabolite produced from bacteria be improved?
How can a microbiome sample be linked to its geographic origin as a part of a forensic investigation?
How can the temperature stability of plastic-degrading bacteria be improved?
ChemPass AI is an innovative, validated computational chemistry discovery and development platform for the design of novel small molecules.
ChemPass AI integrates validated innovative chemo-informatics tools focused on various product-related attributes and development hurdles, together with a robust, highly-efficient virtual screening platform. It utilizes a set of advanced AI chemo-informatics tools and a routinely updated database of curated and processed data on molecules available for purchase and synthesis. This platform is used to drive and accelerate the small molecule product development process.
ChemPass AI uses a set of innovative, validated tools and algorithms for virtual screening and identification of small molecule hits meeting multiple product attributes.
ChemPass AI integrates multiple product-related considerations for the selection of small molecules that meet pre-defined criteria such as novel mechanism of action, ADME-Tox, various Agro-Chemical properties or others.
Small molecule hits, leads or commercial products are optimized and developed using a set of dedicated AI-based tools that solve specific product related challenges such as toxicity, metabolism, IP, efficacy and others.
ChemPass AI combines large, well-organized, searchable database and related innovative chemo-informatics tools to search, invent and analyze new small molecules prior to their expensive synthesis and testing.
Optimization of existing small molecules to achieve novel compounds by – 1) unique algorithms that identify related new scaffolds or adjustments to existing scaffolds; and 2) the ability to search synthetically feasible small molecules.
ChemPass AI integrates proprietary, innovative AI algorithms to target various product development bottlenecks. These may be used during discovery and/or development phases for the selection of candidates with the highest chances to pass into the regulatory process. Examples are activity-related AI models, agro-ADME, metabolism, binding and others.
ChemPass AI provides a full screening pipeline in a timeframe of days, covering enormous databases of processed, curated small molecules. In addition, the platform allows the manipulation, selection, and integration of various considerations into the final candidate selection process, according to the defined product specifications.
What molecules have the highest chances of passing both in-vitro to in-vivo studies?
How can the safety profile of a small molecule product be improved?
Which pro-drug is the most suitable for use to ensure good absorption and activity in the desired site of action?
How can the phloem mobility of an insecticide be improved?
The IP protection of a herbicide under development is to be improved, which molecules should be synthesized??
Which modifications should be made to a molecule in order to cover potential mutations in herbicidal targets?
Can I find a molecule that would strongly and selectively bind a protein in a diagnostics kit?
How can I block the production of a metabolite that interferes with my industrial process?
Can elimination properties of a small molecule-based product be improved to increase its sustainability?
GeneRator AI provides biological insights supporting the identification of genomic elements for the discovery and development of products based on such elements.
By using a set of innovative, computational tools, GeneRator AI identifies genomic elements of interest applicable as biological markers applied in genetic engineering and in additional applications.
GeneRator AI identifies and selects functionally-relevant gene candidates, linked to a desired phenotype or trait. These gene candidates may be incorporated into a genetically engineered organism product. Such identification and selection of novel candidates are achieved through our innovative function-based approach, proprietary gene orthology system and integrated gene networks.
GeneRator AI presents a function-based approach based on a unique database of inter-connected genetic elements in various gene, pathway and genome levels. Our computational tools applied to these unique databases, enable the rapid optimization and development of leading genomic hits.
Our development strategies, such as refined phylogenetic analysis, single-nucleotide-variant level analysis, and pathway level analysis, are employed to boost success rates.
Evogene’s proprietary, function-based approach for the discovery and development of genetic-element-based biological products is empowered by our innovative functional catalog. This approach combines a sophisticated network that allows for an intelligent identification and selection of statistically significant and biologically relevant genetic element candidates.
GeneRator AI’s genome-editing capabilities use the most advanced AI methodologies, combined with fully curated relevant data accumulated over two decades. With this approach, GeneRator AI provides a “one-stop-shop” for a complete discovery and development solution: from the discovery of a target genetic element, through identification of required modifications, to AI-based computational design of the genomic editing experiment, resulting in the desired modification at the highest level of accuracy with minimum side-effects, reducing time and cost.
GeneRator AI discovery and development solution is empowered by data retrieved from high-quality, in-house experimental systems, from the molecular level all the way to field trials.
Which microbiome genes can be related to a given human phenotype/disease?
Which Cannabis plant lines are related to various human symptoms and phenotypes?
How to effectively design genome editing experiments for gene knockout and for changes in gene expression levels for genetic disease therapy?
What genes can be genetically engineered for crop protection or enhancement?
How to design effective genome editing experiments for the Ag industry?
How to select genomic markers for breeding programs?
How to maximize and stabilize the amount of oil in castor plants?
How can the yield of certain protein production be improved?
How can the conditional stability of a given enzyme and its catalytic efficiency be improved?
Evogene group supports independent entities focusing on a defined commercial field with an exclusive license to use our unique solution for product development.