Papers › InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular...

InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery

27 Nov 2023arXiv:2311.16208archive 2025-07-28

He Cao, Zijing Liu, Xingyu Lu, Yuan YAO, Yu Li

The rapid evolution of artificial intelligence in drug discovery encounters challenges with generalization and extensive training, yet Large Language Models (LLMs) offer promise in reshaping interactions with complex molecular data. Our novel contribution, InstructMol, a multi-modal LLM, effectively aligns molecular structures with natural language via an instruction-tuning approach, utilizing a two-stage training strategy that adeptly combines limited domain-specific data with molecular and textual information. InstructMol showcases substantial performance improvements in drug discovery-related molecular tasks, surpassing leading LLMs and significantly reducing the gap with specialized models, thereby establishing a robust foundation for a versatile and dependable drug discovery assistant.

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idea-xl/instructmol officialmentioned in papermentioned on GitHubpytorchApache-2.0 report

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load_image_from_base64 idea-xl/instructmol/llava/mm_utils.py official repository ran Apache-2.0 (permissive) · c3ee9d07c900dd55 · report
process_images idea-xl/instructmol/llava/mm_utils.py official repository ran Apache-2.0 (permissive) · 1df990c375318896 · report
update_pretrained_config idea-xl/instructmol/llava/model/builder.py official repository ran Apache-2.0 (permissive) · 7c27eacc7ec807d1 · report

Tasks

Drug DiscoveryMolecule Captioning

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Molecule Captioning ChEBI-20 InstructMol-GS BLEU-2 47.5 #32 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-GS BLEU-4 37.1 #32 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-GS METEOR 50.9 #32 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-GS ROUGE-1 56.6 #32 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-GS ROUGE-2 39.4 #32 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-GS ROUGE-L 50.2 #32 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-G BLEU-2 46.6 #33 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-G BLEU-4 36.5 #33 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-G METEOR 49.1 #33 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-G ROUGE-1 54.7 #33 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-G ROUGE-2 36.5 #33 of 33 Archive leaderboard report
Molecule Captioning ChEBI-20 InstructMol-G ROUGE-L 47.9 #33 of 33 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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