Identifying drug targets and candidate sequences is an important process and an unmet challenge in drug development. As a professional services supplier in drug discovery, Creative Biolabs has developed an original AI-augmented drug discovery platform to accelerate drug discovery, especially therapeutic antibodies.

Introduction to Artificial Intelligence for Drug Discovery

Owing to the rapid development of machine learning (ML) methods and many data collected from pharmacological researches, artificial intelligence (AI) technology has been widely used for the entire drug pipeline, ranging from in silico candidate screening, drug activity evaluation, novel drug design, to ADME assessment for clinical use. In addition, deep learning (DL) methods have also proven their efficacy in generating AI models for enhancing the recognition of drug targets. In particular, several artificial neural networks (ANNs), such as convolutional neural network (CNN), recurrent neural network (RNN), have been developed for extracting, analyzing, and modifying the properties of screened molecules to further promote the development of AI-augmented drug discovery methods.

Utilisation of artificial intelligence (AI) in the drug development process. Fig.1 Utilisation of artificial intelligence (AI) in the drug development process. (Mak, 2019)

Our AI-augmented Drug Discovery Platform

Based on artificial intelligence, big data, and machine learning, our comprehensive AI-augmented drug discovery platform makes clients more competitive by increasing the hits, diversity, delivery speed, and profit margin in drug discovery project.

AI-augmented Drug Discovery Platform. Fig.2 AI-augmented Drug Discovery Platform.

Mainly Services

Based on the types of various drugs, our AI-augmented drug discovery platform provides superior services focused on antibody-drug and small molecule drug discovery. Our expertise has been well-recognized in selecting and validating drug targets, designing new drugs, predicting the drug synthetic routes, assessing drug pharmacological properties, as well as evaluating drug safety and efficacy in clinical use.


  • Flexible, cost-effective, and time-saving serving procedure
  • One-stop AI-aided solutions for antibody and small molecule drug discovery
  • Full database resources to train your AI models
  • Detailed and accurate data analysis results

Creative Biolabs offers AI-augmented drug discovery services to help clients characterize the most suitable drug candidates to support drug development for different diseases. Our platform contains a series of authoritative databases, different AI models, and any other information you required. For more details, please don’t hesitate to contact us.


  1. Mak, K. K.; et al. Artificial intelligence in drug development: present status and future prospects. Drug Discov Today. 2019, 24(3): 773-780.
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