Research elites from 985 universities and CAS in biology, chemistry, and pharmaceuticals. Deep expertise in China's NMPA drug review system, providing drug discovery, molecular design, clinical trial protocol, and ADMET prediction annotation data.
The Langhui pharmaceutical r&d expert team composition and core advantages
朗慧医药研发领域专家团队以985高校药学/化学/生物学硕博及中科院系统科研人员为核心，覆盖药物化学、药理学、分子生物学、生物信息学等方向。朗慧坚持实验室科研产出硬门槛，确保专家具备真实的药物研发能力。
专家团队深度掌握中国NMPA/CDE新药审评流程、仿制药一致性评价、中药现代化等本土特色。在分子对接与虚拟筛选、ADMET预测、临床试验方案设计标注等任务中，朗慧专家凭借实验室一线的科研经验提供专业级数据。
覆盖任务包括药物靶点识别与验证、先导化合物优化、合成路线设计评估、药理毒理数据分析标注等。每份标注均通过3轮专业审核——学历/论文验证、专业知识笔试、课题答辩，确保标注质量对标医药研发科学家水平。
End-to-end annotation services for pharmaceutical r&d AI
Binding affinity prediction, virtual screening result verification, lead compound optimization assessment
Absorption, distribution, metabolism, excretion, and toxicity prediction annotation
Trial design evaluation, endpoint selection assessment, patient stratification criteria annotation
Synthesis route feasibility assessment, reagent selection evaluation, yield optimization annotation
Preclinical study data annotation, toxicology report analysis, safety pharmacology assessment
Target identification annotation, pathway enrichment analysis, omics data interpretation
In-depth data services for pharmaceutical r&d LLM pretraining
Drug knowledge graph construction, molecule-protein interaction annotation, SAR relationship labeling
Preclinical safety data annotation, toxicology prediction verification, drug-drug interaction assessment
Trial protocol compliance annotation, patient recruitment criteria evaluation, endpoint assessment
Drug-target-disease relationship annotation, mechanism of action extraction, indication expansion assessment
Core value delivered by Langhui's pharmaceutical r&d expert team
Postdocs from 985 universities and CAS with SCI publications, ensuring research rigor
Three-round academic review ensuring drug discovery and molecular design quality
Small molecules / Biologics / Traditional Chinese Medicine
Deep familiarity with China's drug review system and preclinical research standards
Strict expert admission criteria ensure professional quality
Pharmacy, chemistry, biology or related fields at 985 university or CAS
At least 1 SCI paper (JCR Q2 or above), top journal publications preferred
Molecular docking, molecular dynamics simulation, or CADD proficiency
Cell culture, PCR, Western Blot, and routine biochemical experiment experience
Proficient in PyMOL, AutoDock, and familiar with PDB/UniProt databases
Confirmation and initiation within 2 hours of task assignment
Langhui's differentiated advantages in pharmaceutical r&d data annotation
Standardized process from requirements to high-quality delivery
Deep understanding of project needs, customized annotation plan
Precisely matched domain experts based on task type
Expert team delivers annotations with full quality monitoring
Three-round quality review before delivery
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