Protein Conformation Prediction

Protein Conformation Prediction

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Overview

CD ComputaBio is a pioneering company in the fields of computational and structural biology. We specialize in computer-aided drug design and De Novo Protein Design, key technologies that help accelerate drug discovery and design. One of our sought-after services is Protein Conformation Prediction which is a cornerstone of structural biology and plays a critical role in understanding the properties, functions, and interactions of proteins.

Protein Conformation Prediction.

Background

Protein conformation prediction is a fundamental aspect of bioinformatics, aimed at predicting the spatial structure of a protein from its amino acid sequence. This service is indispensable in research for predicting protein-ligand interactions, drug design, and studying protein-protein interactions.

Our Algorithm

Structure-Based Virtual Screening

Structure-Based Virtual Screening

Harnessing the predictive power of Protein Conformation Prediction, our structure-based virtual screening services enable swift and comprehensive identification of potential drug candidates. By scrutinizing the conformational space of target proteins, we facilitate the efficient screening of diverse compound libraries, pinpointing molecules with the highest likelihood of binding and therapeutic relevance.

Ligand-Binding Affinity Prediction

Ligand-Binding Affinity Prediction

Understanding the nuances of protein-ligand interactions is pivotal in drug design. Our expertise in accurately predicting ligand-binding affinities empowers our partners to prioritize and optimize their lead compounds with unparalleled precision. Through in-depth analysis of conformational dynamics and molecular interactions, we enable informed decision-making in the pursuit of potent and selective drugs.

Protein Engineering and Design

Protein Engineering and Design

Our services encompass the design and modification of proteins for specific applications, underpinned by a profound understanding of protein structure and dynamics. Whether it involves optimizing enzyme activity, designing novel biologics, or engineering proteins with tailored functionalities, our computational approach facilitates groundbreaking advancements in diverse fields.

Our Service

Service Descriptions
Ab Initio Modeling We focus on predicting protein folding without the need for homologous sequences.
Homology Modeling Using previously solved structures to predict the fold of the target protein.
Threading or Fold Recognition We compare the primary sequence of the unknown structure directly with the known structures.
Protein Conformation Prediction We utilize state-of-the-art algorithms to predict the 3D structures of proteins, enabling precise modeling for various applications in drug design, protein engineering, and structural biology.
Dynamic Simulations Our services extend to molecular dynamics simulations, offering in-depth analysis of protein behaviors and interactions to guide drug design and development.
Structure Validation We offer thorough validation of predicted protein structures, providing crucial insights into their stability and accuracy.

BioEmu-based Protein Conformation Prediction

CD ComputaBio has utinized a new open-source artificial intelligence (AI) tool, BioEmu, to enable accurate prediction of protein dynamic conformations. BioEmu (short for Biomolecular Emulator) is a deep learning model developed by Microsoft Research (AI for Science).

Key Capabilities

BioEmu emulates the equilibrium ensemble of protein structures — i.e. the set of conformations (shapes) that a protein naturally samples under physiological conditions

  • Generate thousands of statistically independent protein conformations per hour on a single GPU.
  • Use a large dataset combining static protein structures, molecular dynamics (MD) simulation data (over 200 milliseconds of total MD simulation) and protein stability experimental measurements to train model.
  • Capture functional motions such as:
    • cryptic (hidden) pocket formation
    • local or partial unfolding of regions
    • large-scale domain rearrangements
  • Predict relative free energies among conformations with ≈ 1 kcal/mol accuracy compared to experimental/MD data.

Sample Requirements

To utilize our protein conformation prediction services, clients are required to provide the amino acid sequence of the protein of interest. Additionally, any relevant information on ligands, cofactors, or specific functional domains would be beneficial to enhance the accuracy of the predictions.

Results Delivery

Upon completion of the protein conformation prediction process, clients receive detailed reports containing the predicted 3D structures, along with comprehensive analyses outlining the stability, interactions, and potential binding sites. We ensure timely delivery of results, enabling clients to efficiently integrate our findings into their research and development processes.

Our Advantages

Cutting-edge Technology

We leverage the latest advancements in computational algorithms and bioinformatics, ensuring that our predictions are at the forefront of accuracy and reliability.

Interdisciplinary Expertise

Our team comprises experts with diverse backgrounds in computational biology, bioinformatics, and drug discovery, allowing us to offer comprehensive insights and solutions across various domains of research and development.

Customization

We understand that every project is unique, and thus, we tailor our services to meet the specific needs of each client, providing personalized solutions that align with their research goals.

CD ComputaBio is committed to providing efficient and reliable services to facilitate protein research. Our Protein Conformation Prediction Service is a significant part of our endeavor to forward biotechnological advancements and accelerate drug discovery and design. The bespoke combination of leading-edge computational tools, professional knowledge, and unparalleled customer service offers our clients an unmatched experience and meaningful insights.

For research use only. Not intended for any clinical use.

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