Antibody Modeling Services

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Antibody Modeling Services

Antibodies are large, Y-shaped glycoproteins produced by B cells as the primary immune defense. CD ComputaBio is a professional service provider for the antibody modeling industry. With rich experience, our expert team has participated in some university scientific research projects and mastered a variety of advanced antibody modeling technologies.

Introduction to Antibody

An antibody is a protective protein produced by the immune system in response to a foreign substance called an antigen. Antibodies have important applications in medicine and research. For example, preformed antibodies extracted from the blood serum of a previously infected person or animal are often injected into another person in the form of antiserum to provide immediate passive immunity against fast-acting toxins or microorganisms, such as those in snake bites or tetanus infections.

Full-length antibody structureFig 1. Full-length antibody structure. (Marino M, et al., 2022)

Approach of Antibody Modeling

Antibody modeling is an important tool for antibody design and optimization, and accuracy is critical. Many antibody modeling tools rely solely on traditional methods, but unique machine learning algorithms generate models of antibodies and antibody fragments by combining homology modeling of framework regions and fragment-based or ab initio modeling of hypervariable loop regions, thereby achieving highly accurate antibody structure predictions.

Our Services

CD ComputaBio offers cutting-edge antibody modeling services to assist researchers and pharmaceutical companies in understanding, predicting, and optimizing antibody structure and function. By leveraging known crystallographic data, our models provide insights into the spatial arrangement of amino acids in variable regions, offering a foundation for further exploration of binding interactions.

By Antibody Types

  • Monoclonal Antibody Modeling
  • Polyclonal Antibody Modeling
  • Therapeutic Bispecific Antibody Modeling
  • Single Domain Antibody Modeling
  • Antibody Drug Conjugate (ADC) Modeling
  • More

By Modeling Types

Antibody Modeling Software

GROMACS

GROMACS is a molecular dynamics software package used primarily for simulating proteins, lipids, and nucleic acids. GROMACS is one of the fastest and most popular software packages available today and can run on both central processing units (CPUs) and graphics processing units (GPUs).

AMBER

Amber is a suite of biomolecular simulation programs. First, it is a set of molecular mechanical force fields for simulating biomolecules; these force fields are in the public domain and are used in a variety of simulation programs. Second, it is a molecular simulation package with source code and demos.

NAMD

Nanoscale Molecular Dynamics (NAMD) is a computer program for molecular dynamics simulations written using the Charm++ parallel programming model (not to be confused with CHARMM). It is known for its parallel efficiency and is often used to simulate large systems (millions of atoms).

Our Advantages

  • Our team of experts is available to help clients interpret the results and provide guidance on how to apply the findings to their specific research or development goals.
  • We employ the latest molecular docking, molecular dynamics simulation, and artificial intelligence (AI) solutions for antibody modeling.
  • With a robust computing infrastructure and optimized workflows, we deliver results with remarkable speed and efficiency.

CD ComputaBio is a professional service provider for the antibody modeling industry. We provide our customers with the most precise modeling data and extensive process expertise. Our team of computational biology specialists plays a crucial role in modeling, optimizing, and commercially evaluating antibody development processes. If you are interested in our services or have any questions, please feel free to contact us.

Reference:

  1. Marino M, Holt M G. AAV vector-mediated antibody delivery (A-MAD) in the central nervous system[J]. Frontiers in neurology, 2022, 13: 870799.
* For Research Use Only.
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