Standigm ASK
AI-powered drug discovery platform for novel target identification and drug candidate generation
Company profile
Company profile
Standigm is a biotechnology company specializing in artificial intelligence-powered drug discovery and development. Founded to address the inefficiencies and high costs of traditional drug discovery, Standigm has developed proprietary AI platforms that integrate deep learning, machine learning, and biological knowledge to identify novel drug candidates, predict drug efficacy, and discover new therapeutic targets. The company's technology analyzes vast amounts of biomedical data including genomics, proteomics, and chemical structures to uncover hidden relationships between diseases, targets, and compounds. Standigm serves pharmaceutical companies, biotechnology firms, and academic research institutions seeking to accelerate their drug discovery pipelines and reduce development costs. The platform has demonstrated capabilities across multiple therapeutic areas including oncology, metabolic diseases, and rare diseases. By combining computational predictions with experimental validation, Standigm aims to increase the success rate of drug development while significantly reducing the time and cost required to bring new therapeutics to market. The company represents a new generation of AI-native biotech firms transforming how medicines are discovered and developed.
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AI-powered drug discovery platform for novel target identification and drug candidate generation
03 · Research intelligence
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Research
Computational and structural biotechnology journal · Jan 1, 2026
Quantum-Informed Molecular Representation Learning Enhancing ADMET Property Prediction.Journal of chemical information and modeling · Jul 8, 2024
Artificial intelligence-driven drug repositioning uncovers efavirenz as a modulator of α-synuclein propagation: Implications in Parkinson's disease.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · May 1, 2024
Integration of National Health Insurance claims data and animal models reveals fexofenadine as a promising repurposed drug for Parkinson's disease.Journal of neuroinflammation · Feb 21, 2024
Selenium reduction of ubiquinone via SQOR suppresses ferroptosis.Nature metabolism · Feb 1, 2024
Standigm ASK™: knowledge graph and artificial intelligence platform applied to target discovery in idiopathic pulmonary fibrosis.Briefings in bioinformatics · Jan 22, 2024
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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