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Mole dot gg

@mole__gg

The Leading AI Co-Pilot for Molecular Research https://xitter.cf/t.co/qIzZItbOQb 35umbwFFhbWQDVXXwvjmpHKdLPvPTQwwaNzHLLACpump

Joined January 2025
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Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)Photo by Mole dot gg (@mole__gg)
Our database currently stores over 66,000 chemical compounds 馃К $MOLE will lead with the largest interpretive chemical compound database in the world
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Site is back up
Mole dot gg (@mole__gg) profile pictureMole dot gg@mole__gg7 Jan 2025
Site is down in maintenance
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Updated
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Mole AI is looking to integrate a dataset like the Ensembl Genome Database, a rich resource of genomic data covering humans, animals, and plants Unlocking powerful new possibilities in gene exploration, mutation analysis, and comparative genomics 馃К馃殌
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With natural language queries, users can explore complex genomic data without advanced bioinformatics expertise. Imagine asking, "Which human genes are linked to Alzheimer's?" and getting instant, AI-curated answers
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Integrating Ensembl means faster genetic discoveries, better disease research, and a step toward personalized genomics Mole AI is making genome analysis intuitive and insightful Start at mole.gg
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Mole AI has now integrated ChEMBL, one of the largest bioactivity databases for drug discovery With this integration, researchers can now explore bioactive molecules, predict drug interactions, and uncover potential therapeutic targets faster than ever before
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With ChEMBL now in Mole, think faster compound screening, deeper insights into molecular interactions, and smarter drug discovery pipelines
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Mole is building a suite of tools to become an AI copilot for molecular researchers to iterate on data blazing fast and accurately What do you want to know? mole.gg
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Due to significant community feedback, we will be integrating the planned sister genome branch within the current Mole platform All Mole products will fall within Mole and there will not be a new token
Mole dot gg (@mole__gg) profile pictureMole dot gg@mole__gg4 Jan 2025
As part of a new research branch, Mole will be releasing another sister product line that creates an AI-enabled user interface to interact with genome datasets This sister brand will be a partner to Mole with a separate team and be powered by a separate token in the future
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C C (@Jytp37) profile pictureC C@Jytp375 Jan 2025
Replying to @mole__gg
maybe if the website started anaylizing and chat worked i would buy in
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This is a heads up for the community that the molecular branch will be launching a new and separate token later today
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As part of a new research branch, Mole will be releasing another sister product line that creates an AI-enabled user interface to interact with genome datasets This sister brand will be a partner to Mole with a separate team and be powered by a separate token in the future
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Quickly analyze and interpret vast genomic sequences, identifying key genes, mutations, and their biological significance in real time With chat, researchers can explore gene functions, pathways, and potential therapeutic targets without needing complex bioinformatics expertise
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UniProt is the go-to source for protein sequence and function data Our AI helps researchers identify new targets, predict protein-ligand interactions, and understand protein functions in therapeutic contexts
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By integrating these datasets, along with PDB and KEGG, Mole AI will become a comprehensive co-pilot for researchers鈥攐ffering instant insights, predictions, and visualizations across the entire drug discovery process Faster breakthroughs, fewer dead ends
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DrugBank provides extensive drug and target data With Mole AI, users can explore drug interactions, mechanisms of action, and potential off-label uses, making it a powerful tool for pharmaceutical research and innovation
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In the next few days we鈥檙e expanding Mole AI to integrate several powerful datasets for molecular research Here鈥檚 why datasets like ChEMBL, DrugBank, UniProt, PDB, and KEGG are game-changers鈥攁nd how our platform interface unlocks their full potential 馃馃
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ChEMBL contains bioactive molecule data, essential for drug discovery Our AI can analyze bioactivity trends, predict potential drug candidates, and provide instant insights into molecule properties鈥攁ccelerating R&D.
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