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March 16, 2026

PRISM BioLab and Receptor.AI Announce Strategic Drug Discovery Collaboration

Partnership Announcement

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Partnership Announcement

February 2, 2026

hERG Didn’t Kill This Program. Cardiac Biology Did. Orally bioavailable BRD9 degrader CFT8634 and multi-channel risk

Blogs

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Blogs

January 29, 2026

Predicting Peptide Permeability at Scale

Blogs

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Blogs

January 14, 2026

From Peptide Binders to Small-Molecule Leads: How Receptor.AI Approaches Translation

Blogs

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Blogs

December 5, 2025

Beyond Binding: Encoding Expert Strategy for Peptide Optimization

Blogs

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Blogs

November 25, 2025

QuorumMap: AI-Guided Navigation of 10¹⁶-Scale Chemical Space

Blogs

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Blogs

November 24, 2025

The PEPTOR™ Platform for Modern Peptide Design

Blogs

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Blogs

November 20, 2025

BriaCell and Receptor.AI to Collaborate on AI-Driven Small Molecule Cancer Therapeutics

Partnership Announcement

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Partnership Announcement

November 18, 2025

From Predictions to Strategy: Designing a Planning AI Agent for Drug Discovery

Blogs

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Blogs

October 15, 2025

Beyond the Benchmark: Rethinking Molecular Docking Accuracy

Blogs

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Blogs

October 7, 2025

LLM-driven binding pocket prioritization

Blogs

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Blogs

September 19, 2025

PPI modality: How can AI overcome data scarcity?

Blogs

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Blogs

September 3, 2025

Receptor.AI: Shaping the Future of Drug Discovery Through Generative AI Innovation

News

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News

August 14, 2025

AI vs Physics: Outperformance in Protein–Ligand Docking

Blogs

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Blogs

August 14, 2025

Receptor.AI Announces Collaboration with Sareum to Accelerate Discovery of BBB-Permeable TYK2/JAK1 Inhibitors for Neuroinflammatory Diseases

Partnership Announcement

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Partnership Announcement

July 18, 2025

Introducing the Receptor.AI ADMET Model Family for Scalable and Accurate Predictions

Blogs

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Blogs

July 2, 2025

Nobel Laureate Morten Meldal Joins Receptor.AI as Scientific Advisor

News

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News

July 1, 2025

The Complexity Bias: Why ML Drug Discovery Models Sometimes Fail in Practice

Blogs

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Blogs

June 12, 2025

Receptor.AI Incorporates The REAXENSE Platform to Expand Full-Stack Drug Discovery Capabilities

News

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News

April 9, 2025

AI vs Physics: Present and Future of PPI Structure Prediction Methods

Blogs

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Blogs

April 2, 2025

Receptor.AI announces research collaboration with Ono Pharmaceutical

Partnership Announcement

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Partnership Announcement

April 1, 2025

Receptor.AI Joins the Peptide Drug Hunting Consortium

News

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News

February 10, 2025

Receptor.AI and Moexa Pharmaceuticals Partner to Advance AI-Powered SMAD3 Inhibitors

Partnership Announcement

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Partnership Announcement

November 21, 2024

The Intersection of Generative AI and Molecular Dynamics in Drug Discovery: Limitations and Opportunities

Blogs

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Blogs

November 8, 2024

Receptor.AI opens headquarters in Boston, strengthening U.S. market presence

News

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News

October 24, 2024

Receptor.AI and Reaxense Inc. Present Innovative AI-Driven Focused On-Demand Libraries for Drug Discovery

Partnership Announcement

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Partnership Announcement

October 7, 2024

Introducing ArtiDock 2.5: NEXT-GEN Molecular Docking

News

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News

October 3, 2024

Presenting the LLM-driven Workflow Orchestrator

News

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News

September 10, 2024

Receptor.AI and Moexa Announce Research Collaboration to Discover Novel Therapeutics Targeting Protein-Protein Interactions (PPIs) for Cancer and Fibrosis Treatment

Partnership Announcement

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Partnership Announcement

July 31, 2024

Designing protein proximity inducers with Receptor.AI drug discovery platform

Blogs

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Blogs

June 11, 2024

Receptor.AI Marks Notable Presence at the ASCO and BIO International Convention 2024

Blogs

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Blogs

June 7, 2024

AI Drug Discovery: Not One-Size-Fits-All – Addressing Data Challenges

Blogs

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Blogs

March 19, 2024

Introducing ArtiDock 2.0: A New Era in AI-Driven Drug Discovery

News

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News

March 13, 2024

Receptor.AI will attend Bio-Europe Spring Conference 2024

News

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News

March 7, 2024

NVIDIA GTC Conference 2024 Presentation Announcement

News

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News

December 1, 2023

Exciting News from the J.P. Morgan Healthcare Conference 2024

News

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News

December 1, 2023

Receptor.AI Introduces ArtiDock

News

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News

June 18, 2023

Receptor.AI Advances Design of Selective M3 Receptor Inhibitors

Blogs

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Blogs

June 8, 2023

Unlocking the Potential of Cryptic Pockets with Receptor.AI

Blogs

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Blogs

May 16, 2023

Redefining Precision: Introducing Receptor.AI’s 5-Level Compound Selectivity Platform

Blogs

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Blogs

April 14, 2023

Advancing Drug Discovery: Receptor.AI's AI-Augmented Structure-Based Prediction Methods

News

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News

April 14, 2023

Benchmark of the AI-augmented structure-based activity and affinity prediction methods combined by a smart consensus function

Blogs

Read

Blogs

March 31, 2023

Receptor.AI Unveils Advanced ADME-Tox Prediction Model

News

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News

March 31, 2023

The key for fast and efficient AI-assisted drug discovery: benchmarking the Receptor.AI ADME-Tox prediction model

Blogs

Read

Blogs

March 17, 2023

Receptor.AI will attend Bio-Europe Spring Conference 2023

News

Read

News

March 14, 2023

The rock-solid base for Receptor.AI drug discovery platform: benchmarking the drug-target interaction AI model

Blogs

Read

Blogs

March 7, 2023

Podcast: Alan Nafiiev on Membranotropic Drug Discovery and the Future of AI in Pharma

Blogs

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Blogs

February 7, 2023

Identification of dual-targeting Mycobacterium tuberculosis aminoacyl-tRNA synthetase inhibitors using machine learning

Blogs

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Blogs

January 30, 2023

Developing bifunctional protein degraders for difficult-to-drug proteins with the Receptor.AI Platform

Blogs

Read

Blogs

January 18, 2023

Receptor.AI introduces 3DProtDTA — the next-generation drug-target interaction AI model

Blogs

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Blogs

January 8, 2023

Receptor.AI helps fight obesity by acting on the “sixth taste” receptors

Blogs

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Blogs

January 8, 2023

The lipid membranes are druggable and available for AI-based drug design

Blogs

Read

Blogs

September 23, 2022

AI meets DEL: Is this the most powerful combo in modern drug discovery?

Blogs

Read

Blogs

August 15, 2022

Developing novel inhibitors of BRD4 to fight leukaemia with RECEPTOR.AI SaaS Platform

Blogs

Read

Blogs

August 1, 2022

Data rules it all in AI-based drug discovery

Blogs

Read

Blogs

April 20, 2022

Undruggable targets: the major challenge for modern drug discovery

Blogs

Read

Blogs

December 9, 2021

AI contributes to understanding polypharmacology with explainable ML

Blogs

Read

Blogs

November 19, 2021

The AI that speaks the language of chemical reactions natively

Blogs

Read

Blogs

September 16, 2021

AI predicts interactions of the drugs having no clue about their chemical nature

Blogs

Read

Blogs

News & Blogs

PRISM BioLab and Receptor.AI Announce Strategic Drug Discovery Collaboration

hERG Didn’t Kill This Program. Cardiac Biology Did. Orally bioavailable BRD9 degrader CFT8634 and multi-channel risk

Predicting Peptide Permeability at Scale

From Peptide Binders to Small-Molecule Leads: How Receptor.AI Approaches Translation

Beyond Binding: Encoding Expert Strategy for Peptide Optimization

QuorumMap: AI-Guided Navigation of 10¹⁶-Scale Chemical Space

The PEPTOR™ Platform for Modern Peptide Design

BriaCell and Receptor.AI to Collaborate on AI-Driven Small Molecule Cancer Therapeutics

From Predictions to Strategy: Designing a Planning AI Agent for Drug Discovery

Beyond the Benchmark: Rethinking Molecular Docking Accuracy

LLM-driven binding pocket prioritization

PPI modality: How can AI overcome data scarcity?

Receptor.AI: Shaping the Future of Drug Discovery Through Generative AI Innovation

AI vs Physics: Outperformance in Protein–Ligand Docking

Receptor.AI Announces Collaboration with Sareum to Accelerate Discovery of BBB-Permeable TYK2/JAK1 Inhibitors for Neuroinflammatory Diseases

Introducing the Receptor.AI ADMET Model Family for Scalable and Accurate Predictions

Nobel Laureate Morten Meldal Joins Receptor.AI as Scientific Advisor

The Complexity Bias: Why ML Drug Discovery Models Sometimes Fail in Practice

Receptor.AI Incorporates The REAXENSE Platform to Expand Full-Stack Drug Discovery Capabilities

AI vs Physics: Present and Future of PPI Structure Prediction Methods

Receptor.AI announces research collaboration with Ono Pharmaceutical

Receptor.AI Joins the Peptide Drug Hunting Consortium

Receptor.AI and Moexa Pharmaceuticals Partner to Advance AI-Powered SMAD3 Inhibitors

The Intersection of Generative AI and Molecular Dynamics in Drug Discovery: Limitations and Opportunities

Receptor.AI opens headquarters in Boston, strengthening U.S. market presence

Receptor.AI and Reaxense Inc. Present Innovative AI-Driven Focused On-Demand Libraries for Drug Discovery

Introducing ArtiDock 2.5: NEXT-GEN Molecular Docking

Presenting the LLM-driven Workflow Orchestrator

Receptor.AI and Moexa Announce Research Collaboration to Discover Novel Therapeutics Targeting Protein-Protein Interactions (PPIs) for Cancer and Fibrosis Treatment

Designing protein proximity inducers with Receptor.AI drug discovery platform

Receptor.AI Marks Notable Presence at the ASCO and BIO International Convention 2024

AI Drug Discovery: Not One-Size-Fits-All – Addressing Data Challenges

Introducing ArtiDock 2.0: A New Era in AI-Driven Drug Discovery

Receptor.AI will attend Bio-Europe Spring Conference 2024

NVIDIA GTC Conference 2024 Presentation Announcement

Exciting News from the J.P. Morgan Healthcare Conference 2024

Receptor.AI Introduces ArtiDock

Receptor.AI Advances Design of Selective M3 Receptor Inhibitors

Unlocking the Potential of Cryptic Pockets with Receptor.AI

Redefining Precision: Introducing Receptor.AI’s 5-Level Compound Selectivity Platform

Advancing Drug Discovery: Receptor.AI's AI-Augmented Structure-Based Prediction Methods

Benchmark of the AI-augmented structure-based activity and affinity prediction methods combined by a smart consensus function

Receptor.AI Unveils Advanced ADME-Tox Prediction Model

The key for fast and efficient AI-assisted drug discovery: benchmarking the Receptor.AI ADME-Tox prediction model

Receptor.AI will attend Bio-Europe Spring Conference 2023

The rock-solid base for Receptor.AI drug discovery platform: benchmarking the drug-target interaction AI model

Podcast: Alan Nafiiev on Membranotropic Drug Discovery and the Future of AI in Pharma

Identification of dual-targeting Mycobacterium tuberculosis aminoacyl-tRNA synthetase inhibitors using machine learning

Developing bifunctional protein degraders for difficult-to-drug proteins with the Receptor.AI Platform

Receptor.AI introduces 3DProtDTA — the next-generation drug-target interaction AI model

Receptor.AI helps fight obesity by acting on the “sixth taste” receptors

The lipid membranes are druggable and available for AI-based drug design

AI meets DEL: Is this the most powerful combo in modern drug discovery?

Developing novel inhibitors of BRD4 to fight leukaemia with RECEPTOR.AI SaaS Platform

Data rules it all in AI-based drug discovery

Undruggable targets: the major challenge for modern drug discovery

AI contributes to understanding polypharmacology with explainable ML

The AI that speaks the language of chemical reactions natively

AI predicts interactions of the drugs having no clue about their chemical nature

Receptor.AI announces research collaboration with Ono Pharmaceutical