Small Molecule Drug Design Services
The paradigm of drug discovery is time-consuming, challenging, and expensive. However, by collaborating with Alfa Cytology, these issues will no longer exist. We assist you in achieving the comprehensive design of small molecule drugs, aiming to minimize the time and cost of your leukemia drug development projects. We provide end-to-end solutions to meet your specific needs.
Overview of Small Molecule Drug Design
One approach to drug discovery is de novo drug design, which involves predicting chemical entities that may be suitable for the active site of the target enzyme, for example. Virtual screening and computer-aided drug design are commonly employed to identify new chemical moieties that may interact with target proteins associated with leukemia. Molecular modeling and molecular dynamics simulations can be used to enhance the effectiveness of novel lead compounds for leukemia therapy.
Fig. 1. Classification of drug design methods. (Mao, J. et al., 2021)
Computer-aided Drug Design Services
By employing CADD techniques, we aim to design and optimize small molecule drug candidates targeting specific leukemic biomarkers. This encompasses virtual screening utilizing molecular simulation and computational chemistry approaches to identify compounds with potential therapeutic efficacy. Leveraging the applications of CADD, our services encompass the following offerings.
Virtual Screening
Using virtual screening methods and chemoinformatics techniques, we screen large compound libraries to identify drug candidate molecules with high activity and selectivity.
Structure-based Drug Design (SBDD)
Our team specializing in computer-aided drug design offers a diverse range of tools for designing and optimizing novel compounds utilizing target structure information available in leukemia research.
Ligand-based Drug Discovery (LBDD)
By utilizing techniques such as pharmacophore modeling and three-dimensional quantitative structure-activity relationship (3D QSAR), we offer predictive QSAR models to explore potential key interactions between ligands and drug targets.
Drug Likeness Prediction
We offer a variety of approaches, including discriminative rules, statistical models, and machine learning models, to predict drug similarity based on physicochemical properties and structural characteristics.
Workflow of Our Service
Propose drug screening requirements
Discuss project details
Determine the experimental plan
Carry out the work and summarize the results
Deliver results and complete collaboration
Contact Us
Whether you are an academic research institution, a biotechnology company, or a pharmaceutical enterprise, Alfa Cytology provide you with high-quality small molecule drug design services to support the success of your drug development and leukemia therapy. If you are interested in our services or have any questions, please feel free to contact our team. We are committed to providing you with support and solutions.
Reference
- Mao, J.; et al. Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models. Iscience. 2021, 24(9): 103052.