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Kotai Antibody Builder: automated high-resolution structural modeling of antibodies

https://doi.org/10.1093/bioinformatics/btu510
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jcc.23509openalex-snapshot
LEAP: Highly accurate prediction of protein loop conformations by integrating coarse‐grained sampling and optimized energy scores with all‐atom refinement of backbone and side chains
inferredcites →https://doi.org/10.1002/prot.22087openalex-snapshot
Structural classification of CDR‐H3 revisited: A lesson in antibody modeling
inferredcites →https://doi.org/10.1002/prot.23130openalex-snapshot
Antibody modeling assessment
inferredcites →https://doi.org/10.1002/prot.24567openalex-snapshot
Second antibody modeling assessment (AMA‐II)
inferredcites →https://doi.org/10.1002/prot.24591openalex-snapshot
High‐resolution modeling of antibody structures by a combination of bioinformatics, expert knowledge, and molecular simulations
inferredcites →https://doi.org/10.1016/j.jmb.2010.10.030openalex-snapshot
A New Clustering of Antibody CDR Loop Conformations
inferredcites →https://doi.org/10.1016/s0014-5793(96)01252-5openalex-snapshot
Structural classification of CDR‐H3 in antibodies
inferredcites →https://doi.org/10.1021/jp035478eopenalex-snapshot
The Filling Potential Method: A Method for Estimating the Free Energy Surface for Protein−Ligand Docking
inferredcites →https://doi.org/10.1093/bioinformatics/btn341openalex-snapshot
PIGS: automatic prediction of antibody structures
inferredcites →https://doi.org/10.1093/bioinformatics/btr482openalex-snapshot
Fast and accurate prediction of protein side-chain conformations
inferredcites →https://doi.org/10.1093/protein/gzs024openalex-snapshot
Computer-aided antibody design
inferredcites →https://doi.org/10.1107/s0907444909042073openalex-snapshot
MolProbity : all-atom structure validation for macromolecular crystallography
inferredcites →https://doi.org/10.4172/1745-7580.1000041openalex-snapshot
Bridging the gap between single-template and fragment based protein structure modeling using Spanner

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3362436openalex-extracted
Information-Driven Modelling of Antibody-Antigen Complexes
inferred← citeshttps://doi.org/10.1002/pro.3546openalex-snapshot
Thermal stability of single‐domain antibodies estimated by molecular dynamics simulations
inferred← citeshttps://doi.org/10.1002/prot.26789openalex-snapshot
Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47–55
inferred← citeshttps://doi.org/10.1007/978-1-0716-2974-1_16openalex-snapshot
Homology Modeling of Antibody Variable Regions: Methods and Applications
inferred← citeshttps://doi.org/10.1007/978-1-4939-2999-3_4openalex-snapshot
Prediction of Antibody Epitopes
inferred← citeshttps://doi.org/10.1007/978-1-4939-8736-8_21openalex-snapshot
High-Throughput Antibody Structure Modeling and Design Using ABodyBuilder
inferred← citeshttps://doi.org/10.1007/978-1-4939-9728-2_17openalex-snapshot
Structural Modeling of Lymphocyte Receptors and Their Antigens
inferred← citeshttps://doi.org/10.1007/978-3-030-32622-7_34openalex-snapshot
ANTISOMA: A Computational Pipeline for the Reduction of the Aggregation Propensity of Monoclonal Antibodies
inferred← citeshttps://doi.org/10.1007/978-3-031-62007-2_14openalex-snapshot
Biopharmaceutical Informatics: A Strategic Vision for Discovering Developable Biotherapeutic Drug Candidates
inferred← citeshttps://doi.org/10.1007/978-3-642-35943-9_150-1openalex-snapshot
Modeling of Antibody and T-Cell Receptor Structures
inferred← citeshttps://doi.org/10.1007/s11095-021-03022-yopenalex-snapshot
Machine Learning Attempts for Predicting Human Subcutaneous Bioavailability of Monoclonal Antibodies
inferred← citeshttps://doi.org/10.1007/s12250-021-00409-4openalex-snapshot
Antibody Cocktail Exhibits Broad Neutralization Activity Against SARS-CoV-2 and SARS-CoV-2 Variants
inferred← citeshttps://doi.org/10.1016/j.csbj.2017.01.010openalex-snapshot
Antibody H3 Structure Prediction
inferred← citeshttps://doi.org/10.1016/j.csbj.2020.07.008openalex-snapshot
Methods for sequence and structural analysis of B and T cell receptor repertoires
inferred← citeshttps://doi.org/10.1016/j.drudis.2016.06.008openalex-snapshot
Translating genomic sequences into antibody efficacy and safety against influenza toward clinical trial outcomes: a case study
inferred← citeshttps://doi.org/10.1016/j.omto.2019.08.008openalex-snapshot
Computationally Guided Design of Single-Chain Variable Fragment Improves Specificity of Chimeric Antigen Receptors
inferred← citeshttps://doi.org/10.1016/j.str.2017.10.005openalex-snapshot
Role of Non-local Interactions between CDR Loops in Binding Affinity of MR78 Antibody to Marburg Virus Glycoprotein
inferred← citeshttps://doi.org/10.1016/j.str.2019.10.011openalex-snapshot
Modeling Antibody-Antigen Complexes by Information-Driven Docking
inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00066openalex-snapshot
Model Building of Antibody–Antigen Complex Structures Using GBSA Scores
inferred← citeshttps://doi.org/10.1021/acs.jctc.3c00513openalex-snapshot
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens
inferred← citeshttps://doi.org/10.1038/nprot.2016.180openalex-snapshot
Modeling and docking of antibody structures with Rosetta
inferred← citeshttps://doi.org/10.1038/s42003-019-0457-8openalex-snapshot
THETA system allows one-step isolation of tagged proteins through temperature-dependent protein–peptide interaction
inferred← citeshttps://doi.org/10.1039/c9me00020hopenalex-snapshot
Repertoire Builder: high-throughput structural modeling of B and T cell receptors
inferred← citeshttps://doi.org/10.1039/c9me00034hopenalex-snapshot
Antibody–antigen complex modelling in the era of immunoglobulin repertoire sequencing
inferred← citeshttps://doi.org/10.1074/jbc.rev120.010181openalex-snapshot
How repertoire data are changing antibody science
inferred← citeshttps://doi.org/10.1080/19420862.2016.1205773openalex-snapshot
ABodyBuilder: Automated antibody structure prediction with data–driven accuracy estimation
inferred← citeshttps://doi.org/10.1080/19420862.2025.2555346openalex-snapshot
Advancing large-molecule discovery with a unified digital platform for data analysis and workflow management
inferred← citeshttps://doi.org/10.1093/bib/bbac267openalex-snapshot
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
inferred← citeshttps://doi.org/10.1093/bib/bbz095openalex-snapshot
Computational approaches to therapeutic antibody design: established methods and emerging trends
inferred← citeshttps://doi.org/10.1093/bioinformatics/btab660openalex-snapshot
DLAB: deep learning methods for structure-based virtual screening of antibodies
inferred← citeshttps://doi.org/10.1093/nar/gkv535openalex-snapshot
LYRA, a webserver for lymphocyte receptor structural modeling
inferred← citeshttps://doi.org/10.1093/nar/gkw361openalex-snapshot
SAbPred: a structure-based antibody prediction server
inferred← citeshttps://doi.org/10.1093/nar/gkx334openalex-snapshot
PIGSPro: prediction of immunoGlobulin structures v2
inferred← citeshttps://doi.org/10.1093/nar/gkz403openalex-snapshot
DaReUS-Loop: a web server to model multiple loops in homology models
inferred← citeshttps://doi.org/10.1093/protein/gzad013openalex-snapshot
Benchmarking TriadAb using targets from the second antibody modeling assessment
inferred← citeshttps://doi.org/10.1093/protein/gzw028openalex-snapshot
Revisiting antibody modeling assessment for CDR-H3 loop
inferred← citeshttps://doi.org/10.1142/s0219633617500699openalex-snapshot
In silicoevaluation of the interactions among two selected single chain variable fragments (scFvs) and ESAT-6 antigen ofMycobacterium tuberculosis
inferred← citeshttps://doi.org/10.1186/s12951-022-01259-2openalex-snapshot
A universal in silico V(D)J recombination strategy for developing humanized monoclonal antibodies
inferred← citeshttps://doi.org/10.2174/0929867327666200219142231openalex-snapshot
Monoclonal Antibodies: A Prospective and Retrospective View
inferred← citeshttps://doi.org/10.22038/ijbms.2020.44007.10318openalex-snapshot
Bioinformatics prediction and experimental validation of VH antibody fragment interacting with Neisseria meningitidis factor H binding protein.
inferred← citeshttps://doi.org/10.3389/fimmu.2017.01753openalex-snapshot
How B-Cell Receptor Repertoire Sequencing Can Be Enriched with Structural Antibody Data
inferred← citeshttps://doi.org/10.3389/fmolb.2023.1221626openalex-snapshot
How can we discover developable antibody-based biotherapeutics?
inferred← citeshttps://doi.org/10.3389/fvets.2021.554383openalex-snapshot
Functional and in silico Characterization of Neutralizing Interactions Between Antibodies and the Foot-and-Mouth Disease Virus Immunodominant Antigenic Site
inferred← citeshttps://doi.org/10.3390/antib8030046openalex-snapshot
Optimization of an Antibody Light Chain Framework Enhances Expression, Biophysical Properties and Pharmacokinetics
inferred← citeshttps://doi.org/10.3410/f.732136676.793559622openalex-snapshot
Faculty Opinions recommendation of Role of Non-local Interactions between CDR Loops in Binding Affinity of MR78 Antibody to Marburg Virus Glycoprotein.
inferred← citeshttps://doi.org/10.5772/intechopen.94366openalex-snapshot
In silico Techniques for Prospecting and Characterizing Monoclonal Antibodies
inferred← citeshttps://doi.org/10.7717/peerj.6179openalex-snapshot
Non-H3 CDR template selection in antibody modeling through machine learning
inferred← citeshttps://doi.org/10.7717/peerj.8408openalex-snapshot
Discrete analysis of camelid variable domains: sequences, structures, and in-silico structure prediction
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