S. No | Tools/Model | Year | Function/Role | GitHub link | Reference |
---|---|---|---|---|---|
Structural Prediction of CDRs | |||||
1 | AbFlex | 2024 | CDR design method with a given antibody-antigen complex | [289] | |
2 | AbDiffuser | 2023 | Generation of antibody 3D structures and sequences | Not Mentioned | [290] |
3 | ImmuneBuilder/ ABodyBuilder2/ NanoBodyBuilder2 TCRBuilder2 | 2023 | Fv modelling, antibody structure modeling, TCR structure modelling, nanobody structure modelling | [291] | |
4 | IgFold | 2022 | Fast, accurate antibody structure prediction | [24] | |
5 | ABLooper | 2022 | Antibody CDR loop structure prediction | [147] | |
6 | DeepSCAb | 2022 | Prediction of antibody backbone and side-chain conformations | [292] | |
7 | DeepAb | 2022 | Antibody structure prediction | [88] | |
8 | SMCDiff | 2022 | Protein backbones and motif-scaffolding | [293] | |
9 | DeepH3 | 2020 | Prediction of CDR H3 loop | [148] | |
10 | RosettaAntibody | 2018 | Antibody modelling | [82] | |
11 | AlphaFold | Structure prediction and modelling | [28] | ||
Optimization and Affinity improvement | |||||
12 | IgDiff | 2024 | De novo antibody design | Not Mentioned | [294] |
13 | AbGAN-LMG | 2023 | Higher-quality antibody libraries generation and optimization | [85] | |
14 | Ens-Grad | 2020 | CDR design | [295] | |
15 | OptMAVEn2.0 | 2018 | De novo Design of Antibody Variable Region | [141] | |
16 | OptCDR | 2010 | CDR designing | http://maranas.che.psu.edu (link not working) | [80] |
17 | MEAN | 2023 | antibody design | ||
Generating CDR Libraries | |||||
18 | IgLM | 2023 | Generates full-length antibody sequences and Infilled CDR H3 loop libraries generated | [215] | |
19 | reportBERT | ||||
Optimizing CDR Immunogenicity | |||||
20 | EquiPocket | 2023 | Binding site prediction | Not Mentioned | [249] |
21 | AbAgIntPre | 2022 | Predict antibody-antigen interactions | [157] | |
22 | DLAB | 2022 | Predict antibody–antigen binding for antigens/ binder/ Virtual screening/ non-binder classifier | [296] | |
23 | PECAN | 2020 | Predict binding interfaces on both antibodies and antigens | [297] | |
Epitope and paratope prediction | |||||
24 | Paragraph | 2023 | Antibody paratope prediction | [298] | |
25 | SEMA | 2022 | B-cell conformational epitope prediction | [237] | |
26 | EPMP | 2021 | Joint epitope-paratope prediction | NA | [299] |
Miscellanies | |||||
27 | AbSciBio | 2024 | De novo antibody design | https://github.com/AbSciBio/unlocking-de-novo-antibody-design | [142] |
28 | ProGen2 | 2023 | Modeling evolutionary sequence distributions, creating novel sequences, and predicting protein fitness | [240] | |
29 | Protpardelle | 2023 | Generative model for protein design | [300] | |
30 | AbLang | 2022 | Restores the missing residues of antibody sequences | [246] | |
31 | AbBERT-HMPN | 2022 | Generation of sequences and structures, focusing on the design of antigen-binding CDR-H3 regions | Not Mentioned | [210] |
32 | AntiBERTa | 2022 | Tracing B cell origins, quantifying immunogenicity, and predicting antibody binding sites | [198] | |
33 | HERN (Hierarchical Equivariant Refinement Net- work) | 2022 | Antibody docking and design | [301] | |
34 | RoseTTAFold Diffusion (RFdiffusion) | 2022 | Enables the creation of complex, functional proteins from basic molecular conditions | [302] | |
35 | AntiBERTy | 2021 | Understanding of immune repertoires/and affinity maturation/ insights into antigen binding | [241] | |
36 | RefineGNN | 2021 | Optimization guided by specific properties to design new antibodies with enhanced neutralization capabilities | [250] | |
37 | LSTM based study | 2021 2022 | Antibody design and affinity maturation Antibody Binding site prediction | Not Mentioned | [226] [227] |
38 | Fold2Seq | 2021 | Designing protein sequences tailored to a specific target fold | [303] | |
39 | UniRep | 2019 | Protein engineering and informatics | [304] |