[Aspirit]

This forum topic is for computational chemists, bioinformaticians, and AI researchers working with KEDD. Join this discussion to:

Explore how KEDD integrates multiple data sources for AI-driven drug discovery.
Discuss the advantages of combining biomedical literature, molecular graphs, and protein data.
Share real-world applications in AI-assisted drug repurposing and precision medicine.
Collaborate on optimizing KEDD for molecular interaction and pharmacological modeling.
🚀 Join us in advancing AI-powered drug discovery with KEDD!

[Aspirit]

Publication:
📄 KEDD: Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
🔗 Read the Paper​

[Aspirit]

This forum topic is for computational chemists, AI researchers, and drug discovery scientists interested in ChatDrug. Join this discussion to:

Explore how ChatDrug enhances interactive drug design with conversational AI.
Discuss strategies for integrating retrieval-augmented drug optimization.
Share real-world applications in small-molecule drug discovery and medicinal chemistry.
Collaborate on improving ChatDrug for broader applications in pharmaceutical research.
🚀 Join us in exploring AI-powered conversational drug design with ChatDrug!

[Aspirit]

Publication:
📄 ChatDrug: ChatGPT-Powered Conversational Drug Editing Using Retrieval and Domain Feedback
🔗 Read the Paper​

Code Source:
📂 GitHub Repository: ChatDrug on GitHub​

[Aspirit]

This forum topic is for bioinformaticians, AI researchers, and protein engineers interested in ProtLLM. Join this discussion to:

Learn how ProtLLM integrates protein sequences with NLP models.
Discuss fine-tuning techniques for protein structure and function prediction.
Explore real-world applications in synthetic biology and AI-driven drug discovery.
Collaborate on enhancing ProtLLM’s capabilities for molecular function annotation.
🚀 Join us in advancing AI-driven protein sequence modeling with ProtLLM!

[Aspirit]

Publication:
📄 ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
🔗 Read the Paper​

Code Source:
📂 GitHub Repository: ProtLLM on GitHub​
📂 Model Download: ProtLLM on Hugging Face​

[Aspirit]

This forum topic is for computational biologists, AI researchers, and protein engineers interested in ProLLaMA. Join this discussion to:

Explore how ProLLaMA enhances multi-task protein sequence processing.
Discuss best practices for using ProLLaMA in protein structure prediction and function annotation.
Share real-world applications in synthetic biology, enzyme engineering, and drug discovery.
Collaborate on improving ProLLaMA’s efficiency in large-scale protein modeling.
🚀 Join us in advancing AI-driven protein sequence modeling with ProLLaMA!

[Aspirit]

Publication:
📄 ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
🔗 Read the Paper​

Code Source:
📂 GitHub Repository: ProLLaMA on GitHub​
📂 Model Download: ProLLaMA on Hugging Face​

[Aspirit]

This forum topic is for protein engineers, computational biologists, and AI researchers interested in ProtAgents. Join this discussion to:

Understand how multi-agent AI enhances protein discovery and sequence optimization.
Discuss the integration of LLMs with physics-based protein modeling.
Explore real-world applications in enzyme engineering and synthetic biology.
Collaborate on improving ProtAgents for functional protein prediction and design.
🚀 Join us in exploring AI-driven protein engineering with ProtAgents!

[Aspirit]

Publication:
📄 ProtAgents: Protein Discovery via Large Language Model Multi-Agent Collaborations Combining Physics and Machine Learning
🔗 Read the Paper​

Code Source:
📂 GitHub Repository: ProtAgents on GitHub​

[Aspirit]

This forum topic is for synthetic biologists, computational protein designers, and AI researchers interested in TourSynbio. Join this discussion to:

Learn how TourSynbio integrates text-based knowledge with protein sequence modeling.
Discuss AI-driven approaches to protein engineering and sequence optimization.
Explore real-world applications in drug discovery, enzyme design, and synthetic biology.
Collaborate on improving TourSynbio’s performance and expanding its capabilities.
🚀 Join us in exploring AI-powered protein engineering with TourSynbio!

[Aspirit]

Publication:
📄 TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
🔗 Read the Paper​

Code Source:
📂 GitHub Repository: TourSynbio on GitHub​
📂 Model Download: TourSynbio on Hugging Face​

[Aspirit]

This forum topic is for biomedical AI researchers, computational biologists, and pharmaceutical scientists working with BioMedGPT. Join this discussion to:

Explore how BioMedGPT integrates multimodal data for biomedical AI applications.
Discuss fine-tuning strategies for drug discovery, molecular modeling, and AI-assisted diagnostics.
Share real-world applications in precision medicine and automated clinical research.
Collaborate on extending BioMedGPT for next-generation biomedical intelligence.
🚀 Join us in advancing AI-driven biomedical research with multimodal generative transformers!

[Aspirit]

Publication:
📄 BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
🔗 Read the Paper​

Code Source:
📂 Model Download & Implementation: BioMedGPT on Hugging Face​

[Aspirit]

Publication:
📄 BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
🔗 Read the Paper​

Code Source:
📂 GitHub Repository: BioGPT on GitHub
📂 Model Download & Implementation: BioGPT on Hugging Face​

[Author]

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