Protein-Small Molecule Interaction Modeling Service

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Protein-Small Molecule Interaction Modeling Service

A deep understanding of the interaction mechanism between proteins and small molecules is essential for new drug discovery, target validation and functional studies. With our expertise in computational biology and molecular simulation, as well as the most advanced technology platform, CD ComputaBio is committed to providing researchers and pharmaceutical companies with high-precision and efficient protein-small molecule interaction modeling solutions to accelerate your research process.

Introduction to Protein-Small Molecule Interaction Modeling

Protein-small molecule interactions are powerful tools for understanding biological processes. Detailed characterization of protein-small molecule binding interactions is essential for modifying or manipulating biological processes and designing targeted small molecule protein inhibitors or activators. A variety of experimental methods and structural biology methods, such as surface plasmon resonance (SPR) and cryo-electron microscopy (Cryo-EM) have been established to enhance researchers' understanding of protein-small molecule interactions. Although these experimental methods have unparalleled accuracy and irreplaceable validation capabilities, they require a lot of time, manpower, and resources. To focus research and reduce the workload required for screening, computational studies of protein and small molecule interactions have become a complement to the above experimental methods. The approach can provide atomic-level details that complement experimental approaches, including processes such as conformational changes, binding, and transport of small molecules/proteins.

Fig. 1 Protein-small molecule interaction modeling using machine learning.Fig. 1 Machine learning-based protein-small molecule interaction modeling. (Wang J, et al.; 2024)

Applications of Protein-Small Molecule Interaction Modeling

Drug Design and Development

Using advanced computational techniques such as virtual screening and molecular docking, we model the interaction between proteins and small molecules and discover potential lead compounds with high activity and selectivity. Through protein-small molecule interaction modeling, we analyze the impact of mutations on drug binding, design drugs that can overcome drug resistance, and improve treatment effects.

Protein Function Regulation

With the help of protein-small molecule interaction modeling, scientists can identify "hot spot" areas in these interfaces, that is, amino acid residues that are critical for the interaction. By simulating the interaction of small molecules with these hot spots, small molecules that can effectively interfere with or regulate protein-protein interactions can be designed, providing new strategies for treating related diseases.

Functional Protein Engineering

By simulating these interactions between proteins and small molecules, researchers can gain a deeper understanding of how small molecules affect the conformation and activity of proteins, and identify conformational changes and key functional residues of proteins during binding to small molecules, thereby designing proteins that respond to specific small molecules to achieve precise control of protein function.

Our Services

As an expert in computational biology, CD ComputaBio has a deep understanding of protein-small molecule interaction modeling. We are committed to using advanced computational methods and high-performance computing platforms to help you simulate and predict complex interaction patterns between proteins and different small molecules, providing key information about binding affinities, interaction mechanisms, and potential drug targets.

Protein-Small Molecule Ligand Interaction Modeling Service

This service focuses on studying how small molecule ligands bind to proteins at the molecular level and the impact of this binding on protein structure and function. These ligands can be endogenous molecules (hormones, neurotransmitters, metabolites) or exogenous compounds (natural products, toxins, or regulatory molecules). CD ComputaBio aims to help you predict the binding sites, binding modes, and binding affinity of ligands through computational simulations such as molecular docking and molecular dynamics simulations, thus designing and developing drugs with higher efficacy, higher selectivity, and lower side effects.

Enzyme-Substrate Interaction Modeling Service

Enzymes are proteins that catalyze chemical reactions in organisms. Modeling the interaction with substrates aims to understand how substrates enter the active site of enzymes and how enzymes catalyze the conversion of substrates into products. Our scientists use molecular dynamics, quantum mechanics/molecular mechanics (QM/MM) and free energy calculations to assist you in studying the transition state, activation energy and reaction mechanism of enzyme-catalyzed reactions to support your enzyme engineering plan.

Receptor-Small Molecule Interaction Modeling Service

This plan focuses on using computational biology methods to predict the binding sites and binding modes of small molecules in receptors, as well as to simulate and evaluate the dynamic behavior and binding affinity of receptor-small molecule complexes. This helps support your receptor-targeted drug design and screening of highly effective receptor agonists or antagonists. G protein-coupled receptors (GPCRs), tyrosine kinase receptors (RTKs), Toll-like receptors (TLRs), etc., are the receptor families that CD ComputaBio focuses on.

Ion Channel-Small Molecule Interaction Modeling Service

Ion channels are a class of membrane proteins that control the transmembrane transport of ions, such as Na+, K+, Ca2+, Cl-. Our ion channel-small molecule interaction modeling service aims to use computational biology methods to predict the binding sites and effects of small molecules on ion channels and evaluate their regulation of channel function, thereby providing theoretical support for the development of drugs for cardiovascular diseases, nervous system diseases, etc.

Transporter Protein-Small Molecule Interaction Modeling Service

Modeling and analysis of the interaction between transporters protein and small molecules is the key to explaining the binding and transport process between the two. CD ComputaBio uses first-class computational simulation methods to study the mechanism of small molecules being recognized, bound, and transported across the membrane by transporters, helping you predict the absorption, distribution, metabolism, and excretion (ADME) characteristics of drugs, evaluate drug resistance, and guide drug design and optimization.

Membrane Protein-Small Molecule Interaction Modeling Service

Our senior scientists focus on considering the physicochemical properties of membranes and use methods such as molecular simulation to help you explain how small molecules affect the structure and function of membrane proteins. This service supports the development of new drugs targeting membrane protein targets and the understanding of disease mechanisms and signal transduction processes.

Glycoprotein-Small Molecule Interaction Modeling Service

This service is used to explain the interaction between small molecules and glycoproteins, especially the effect of glycosylation on protein structure and function. By accurately modeling the three-dimensional structure of glycoproteins and molecular dynamics simulation, our expert team can reveal the binding sites and mechanisms of small molecules and their binding, providing support for vaccine design, tumor immunotherapy, biomarker discovery, and other fields.

More

As your loyal partner, CD ComputaBio has a first-class AI platform and high-performance computing resources to assist you in dealing with any challenges in protein- small molecule interactions modeling. Our experienced team of experts is committed to providing customized solutions based on your project needs to accelerate your research and development process.

Key Modeling Methods and Tools

Approaches Description Tools
Molecular Docking Predict the binding mode and affinity of small molecules to proteins. AutoDock, AutoDock Vina.
Molecular Dynamics Simulations Study the dynamic behavior of complexes and the stability of interactions. GROMACS, AMBER, NAMD.
Free Energy Calculation Estimate binding free energy and evaluate the thermodynamic properties of interactions. MM/PBSA, MM/GBSA, FEP, TI.
Virtual Screening Screen potential active small molecules from large compound libraries. Bioclipse, MOLA, KNIME.
Homology Modeling Model and obtain the three-dimensional structure of proteins with unknown structures. Proteins with known structures can be retrieved directly from the Protein Data Bank (PDB). Modeller, SWISS-MODEL.

Interpretation and Reporting of Results

Conformational Analysis
Interaction Types
Key Residue Identification
Binding Energy Trend
Determine the binding site of small molecules in proteins and identify multiple possible binding modes and conformational states.
Identify hydrogen bonds, stacking interactions, and electrostatic interactions, etc.
Identify the amino acid residues that play a key role in protein-small molecule interactions, and predict the effects of mutations of key residues on binding affinity and interaction patterns through computational simulation.
Compare the binding free energy of different small molecules and predict the activity size.
  • Docking Results - Displays docking scores and binding modes.
  • MD Simulation Results - Provides RMSD, RMSF curves and energy change diagrams.
  • Free Energy Calculation Results - Lists binding free energy values and compare different systems.

CD ComputaBio's protein-small molecule interaction modeling service is designed to accurately predict how small molecules bind to target proteins through advanced computational simulation methods, helping you understand binding sites, binding modes, and affinity. This critical information can support new drug design, lead compound optimization, and toxicity assessment. Please don't hesitate to contact us, if you are interested in our services.

References:

  1. Wang J, et al. Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning. J Cheminform. 2024;16(1):125.
  2. Yang L, et al. Simulation Studies of Protein and Small Molecule Interactions and Reaction. Methods Enzymol. 2016;578:169-212.
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