Chemical Language Models

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Unlocking Chemical Space: TamGen’s Generative AI Approach for Target-Aware Molecule Generation in Drug Discovery
ByDeotima Chakraborty December 1, 2024October 22, 2026

Novel compounds can be discovered in the wide chemical space due to generative drug design that enables one to develop molecules that are effective against their pathogenic target proteins. However, designs tend to focus narrowly on certain specific drug-related qualities, thereby limiting the practicality for which created compounds can be used or their abilities to…

Read More Unlocking Chemical Space: TamGen’s Generative AI Approach for Target-Aware Molecule Generation in Drug Discovery
AI | Bioinformatics | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Protein Design | Structural Biology | Trending

Language Models and Chemistry: Accelerating the Path to Novel Therapeutics
ByNeermita Bhattacharya July 23, 2024October 22, 2026

In recent years, the integration of artificial intelligence (AI) and machine learning (ML) into various scientific domains has significantly advanced, and chemistry is no exception. LLMs can accurately predict properties, design new molecules, optimize synthesis pathways, and accelerate drug and material discovery. Turning LLMs into agents using chemistry-specific tools such as synthesis planners and databases…

Read More Language Models and Chemistry: Accelerating the Path to Novel Therapeutics
AI | Bioinformatics | Chemoinformatics | Computational Models | Drug Discovery | LLM | News | Paper Summary | Trending

Revolutionizing Drug Discovery with ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction
ByDeotima Chakraborty February 21, 2024October 22, 2026

Compound-protein interaction (CPI) prediction accuracy is crucial for drug discovery. Creating deep learning models that can be applied broadly requires expanding the CPI data through experimental validation. With their strong generalization performance in a range of tasks involving substances and proteins, large language models (LLMs) such as chemical and protein language models have become foundational…

Read More Revolutionizing Drug Discovery with ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction
AI | Bioinformatics | Chemoinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

DeepSA: A Cutting-edge Chemical Language Model for Compound Synthesis Accessibility Prediction
BySonal Keni November 10, 2023November 28, 2023

As computationally generated molecules become more popular in the fields of drug development and biotechnology, ease of synthesis becomes a common problem. Often, the molecules generated by machine learning models may be challenging to synthesize and may require many steps, making it too expensive for production. A new deep learning model DeepSA, developed by researchers…

Read More DeepSA: A Cutting-edge Chemical Language Model for Compound Synthesis Accessibility Prediction
AI | Bioinformatics | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending

The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
BySwasti Tyagi October 6, 2023October 22, 2026

In a groundbreaking collaboration spanning IBM Research in Switzerland and the USA, scientists have illuminated the pivotal role of language models (LMs) in molecular discovery. It has been determined that transformer-based architectures are the most popular forms of language models, enabling their widespread use in various domains of science. Due to this, the term ‘scientific…

Read More The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
AI | Bioengineering | Bioinformatics | Chemoinformatics | News | Paper Summary | Proteomics | Trending

AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation
ByAditi Sarkar August 24, 2023August 24, 2023

The University of Toronto researchers have explored the potential of Chemical Language Models (CLMs) to thrive as Biological Learning Models. In contrast to popular Protein Language Models that learn from protein sequences, CLMs can learn atomic-level representations of proteins and also learn protein backbones and natural amino acid structures, as well as the primary sequence…

Read More AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation

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