Chemaxon is a leading cheminformatics company, with headquarters in Budapest, Hungary and offices in the US and Switzerland
Joined August 2009
- Tweets 1,012
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- Followers 1,551
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357 Photos and videos
Discover how to navigate the complex challenges of your DMTA projects: make informed compound choices and streamline your collaborative decision-making. Learn how: chemaxon.com/blog/presentatiā¦
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The 6th and final event of HWSW kraftie! brought together Hungarian IT pros from diverse backgrounds to dive into the dynamic realms of data analysis, ML, and AI technologies. Thank you to the speakers & enthusiastic attendees who contributed to the success of these events.
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How can medicinal chemists have confidence in ML-based models? Leveraging novel outputs to make rapid, better-informed structure-based decisions. Read more: chemaxon.com/blog/overcomingā¦
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Get unlimited access to all our high-quality physico-chemical calculators and predictors on AWS Marketplace. Learn more: eu1.hubs.ly/H06jCyW0
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Expert data curation can make your existing chemical data compliant with the latest business rules. How? Discover best practices and learn how to transform, clean, and standardize your legacy data-sets to ensure their consistency. chemaxon.com/blog/chemical-dā¦
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Why Are Medicinal Chemists Reluctant to Use AI/ML Tools? Read more: chemaxon.com/blog/why-are-meā¦
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Chemaxon's chemical calculations service on AWS offers a comprehensive list of fast and high-quality calculators & predictors. Get unlimited access and predict your next chemical properties using our state-of-the-art cloud calculation service. Learn more: eu1.hubs.ly/H06jCyW0
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Take advantage of our unparalleled offers on cloud calculations: choose the package that fits your needs and enjoy full access to all our industry leading Calculators on AWS Marketplace. Learn more: eu1.hubs.ly/H06jCyW0
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We had a great time at Pistoia Alliance's Conference in Boston last week. Akos Papp shared a case study & a solution overview on Compliance Checker and cHemTS. Jonathan Buttrick, presented about the importance of maintaining IP integrity in collaborative design.
#meetCXN
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Did you know? Chemical data migrations are often underestimated in cost, time, and scope. Discover our best business practices and succeed in your next chemical data migration project. chemaxon.com/blog/chemical-dā¦
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Attending Bio-IT World Europe? We are excited to co-present "Closing the Loop: Empowering the Design-Make-Test-Analyze Cycle with AI" with speakers Csaba Peltz, Product Director at Chemaxon, and Sean McGee, Director of Product at Certara AI. chemaxon.com/blog/events/bioā¦
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In all stages of drug discovery, ML models can be leveraged for faster and more insightful data-driven decisions. Explore how to effortlessly generate multiple models, saving computational costs and ensuring more accurate predictions of compound properties:chemaxon.com/blog/presentatiā¦
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Join Chemaxon at Pistoia Alliance's Collaborate. Innovate. Educate Conference. We are excited to share a case study and a solution overview on Compliance Checker & cHemTS, and present on the importance of maintaining IP integrity in collaborative design. chemaxon.com/blog/events/pisā¦
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Join our upcoming webinar on Xtalks and explore how drug discovery project teams can optimize compound synthesis with data-driven decisions. Register now: lnkd.in/ddfKcs-p
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Effective collaboration is as important as using cutting-edge technologies for compound optimization in the DMTA cycle. Explore the dynamics between science and project management, and how our comprehensive platform can aid in your drug discovery projects. chemaxon.com/blog/presentatiā¦
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Chemaxon retweeted
24 Oct 2023
Join us for a webinar with @chemaxon dedicated to the significance of harnessing a hypothesis and synthesis management platform for turbocharging drug discovery.
š¬ Discover how to overcome various challenges of compound synthesis and decision-making: buff.ly/3QcRVax
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In his talk at our UGM, Gerd Blanke, Technical director, StructurePendium Technologies GmbH, discussed the efforts to FAIR-ify reaction data, highlighted many tools to achieve these goals and explored the significant benefits that could be achieved from mining FAIR reaction data.
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