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Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning
by
Lima, Tayná E.
, Viana, Isabelle F.T.
, de Paula, Sérgio O.
, Dhalia, Rafael
, Wallau, Gabriel L.
, Adan, W. Camilla S.
, Wade, Rebecca C.
, Santos, Adriele J.C.
, Ferraz, Matheus V.F.
, Lins, Roberto D.
in
Affinity
/ Antibodies
/ Antigenic determinants
/ Binding
/ Biology and life sciences
/ Circular dichroism
/ Complementarity Determining Regions - chemistry
/ Complementarity Determining Regions - immunology
/ Complementarity-determining region
/ Computer and Information Sciences
/ Computer simulation
/ Computer-generated environments
/ Concept learning
/ COVID-19
/ Deep learning
/ Design
/ Dichroism
/ Engineering and Technology
/ Epitopes
/ Epitopes - immunology
/ Ethylenediaminetetraacetic acid
/ Glycoproteins
/ Grafting
/ Health aspects
/ Humans
/ Learning algorithms
/ Machine Learning
/ Medicine and health sciences
/ Molecular dynamics
/ Molecular Dynamics Simulation
/ Molecular simulation
/ Nanobodies
/ Pandemics
/ Physical Sciences
/ Protein binding
/ Protein engineering
/ Protein folding
/ Proteins
/ Research and Analysis Methods
/ SARS-CoV-2 - immunology
/ Severe acute respiratory syndrome coronavirus 2
/ Simulation
/ Simulation methods
/ Single-Domain Antibodies - chemistry
/ Single-Domain Antibodies - immunology
/ Spike glycoprotein
/ Spike Glycoprotein, Coronavirus - chemistry
/ Spike Glycoprotein, Coronavirus - immunology
/ Spike protein
/ Structural integrity
/ Technology application
/ Thermophoresis
/ Vaccines
/ Viral antibodies
/ Viral diseases
/ Viral proteins
/ Virus-like particles
/ Viruses
2025
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Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning
by
Lima, Tayná E.
, Viana, Isabelle F.T.
, de Paula, Sérgio O.
, Dhalia, Rafael
, Wallau, Gabriel L.
, Adan, W. Camilla S.
, Wade, Rebecca C.
, Santos, Adriele J.C.
, Ferraz, Matheus V.F.
, Lins, Roberto D.
in
Affinity
/ Antibodies
/ Antigenic determinants
/ Binding
/ Biology and life sciences
/ Circular dichroism
/ Complementarity Determining Regions - chemistry
/ Complementarity Determining Regions - immunology
/ Complementarity-determining region
/ Computer and Information Sciences
/ Computer simulation
/ Computer-generated environments
/ Concept learning
/ COVID-19
/ Deep learning
/ Design
/ Dichroism
/ Engineering and Technology
/ Epitopes
/ Epitopes - immunology
/ Ethylenediaminetetraacetic acid
/ Glycoproteins
/ Grafting
/ Health aspects
/ Humans
/ Learning algorithms
/ Machine Learning
/ Medicine and health sciences
/ Molecular dynamics
/ Molecular Dynamics Simulation
/ Molecular simulation
/ Nanobodies
/ Pandemics
/ Physical Sciences
/ Protein binding
/ Protein engineering
/ Protein folding
/ Proteins
/ Research and Analysis Methods
/ SARS-CoV-2 - immunology
/ Severe acute respiratory syndrome coronavirus 2
/ Simulation
/ Simulation methods
/ Single-Domain Antibodies - chemistry
/ Single-Domain Antibodies - immunology
/ Spike glycoprotein
/ Spike Glycoprotein, Coronavirus - chemistry
/ Spike Glycoprotein, Coronavirus - immunology
/ Spike protein
/ Structural integrity
/ Technology application
/ Thermophoresis
/ Vaccines
/ Viral antibodies
/ Viral diseases
/ Viral proteins
/ Virus-like particles
/ Viruses
2025
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Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning
by
Lima, Tayná E.
, Viana, Isabelle F.T.
, de Paula, Sérgio O.
, Dhalia, Rafael
, Wallau, Gabriel L.
, Adan, W. Camilla S.
, Wade, Rebecca C.
, Santos, Adriele J.C.
, Ferraz, Matheus V.F.
, Lins, Roberto D.
in
Affinity
/ Antibodies
/ Antigenic determinants
/ Binding
/ Biology and life sciences
/ Circular dichroism
/ Complementarity Determining Regions - chemistry
/ Complementarity Determining Regions - immunology
/ Complementarity-determining region
/ Computer and Information Sciences
/ Computer simulation
/ Computer-generated environments
/ Concept learning
/ COVID-19
/ Deep learning
/ Design
/ Dichroism
/ Engineering and Technology
/ Epitopes
/ Epitopes - immunology
/ Ethylenediaminetetraacetic acid
/ Glycoproteins
/ Grafting
/ Health aspects
/ Humans
/ Learning algorithms
/ Machine Learning
/ Medicine and health sciences
/ Molecular dynamics
/ Molecular Dynamics Simulation
/ Molecular simulation
/ Nanobodies
/ Pandemics
/ Physical Sciences
/ Protein binding
/ Protein engineering
/ Protein folding
/ Proteins
/ Research and Analysis Methods
/ SARS-CoV-2 - immunology
/ Severe acute respiratory syndrome coronavirus 2
/ Simulation
/ Simulation methods
/ Single-Domain Antibodies - chemistry
/ Single-Domain Antibodies - immunology
/ Spike glycoprotein
/ Spike Glycoprotein, Coronavirus - chemistry
/ Spike Glycoprotein, Coronavirus - immunology
/ Spike protein
/ Structural integrity
/ Technology application
/ Thermophoresis
/ Vaccines
/ Viral antibodies
/ Viral diseases
/ Viral proteins
/ Virus-like particles
/ Viruses
2025
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Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning
Journal Article
Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning
2025
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Overview
The design of proteins capable effectively binding to specific protein targets is crucial for developing therapies, diagnostics, and vaccine candidates for viral infections. Here, we introduce a complementarity-determining region (CDR) grafting approach for designing nanobodies (Nbs) that target specific epitopes, with the aid of computer simulation and machine learning. As a proof-of-concept, we designed, evaluated, and characterized a high-affinity Nb against the spike protein of SARS-CoV-2, the causative agent of the COVID-19 pandemic. The designed Nb, referred to as Nb Ab.2, was synthesized and displayed high-affinity for both the purified receptor-binding domain protein and to the virus-like particle, demonstrating affinities of 9 nM and 60 nM, respectively, as measured with microscale thermophoresis. Circular dichroism showed the designed protein’s structural integrity and its proper folding, whereas molecular dynamics simulations provided insights into the internal dynamics of Nb Ab.2. This study shows that our computational pipeline can be used to efficiently design high-affinity Nbs with diagnostic and prophylactic potential, which can be tailored to tackle different viral targets.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Binding
/ Complementarity Determining Regions - chemistry
/ Complementarity Determining Regions - immunology
/ Complementarity-determining region
/ Computer and Information Sciences
/ Computer-generated environments
/ COVID-19
/ Design
/ Epitopes
/ Ethylenediaminetetraacetic acid
/ Grafting
/ Humans
/ Medicine and health sciences
/ Molecular Dynamics Simulation
/ Proteins
/ Research and Analysis Methods
/ Severe acute respiratory syndrome coronavirus 2
/ Single-Domain Antibodies - chemistry
/ Single-Domain Antibodies - immunology
/ Spike Glycoprotein, Coronavirus - chemistry
/ Spike Glycoprotein, Coronavirus - immunology
/ Vaccines
/ Viruses
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