- Home
- Publications
- Publication Search
- Publication Details
Title
IgLM: Infilling language modeling for antibody sequence design
Authors
Keywords
-
Journal
Cell Systems
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2023-10-30
DOI
10.1016/j.cels.2023.10.001
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Large language models generate functional protein sequences across diverse families
- (2023) Ali Madani et al. NATURE BIOTECHNOLOGY
- Efficient evolution of human antibodies from general protein language models
- (2023) Brian L. Hie et al. NATURE BIOTECHNOLOGY
- Evolutionary-scale prediction of atomic-level protein structure with a language model
- (2023) Zeming Lin et al. SCIENCE
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
- (2023) Jeffrey A. Ruffolo et al. Nature Communications
- BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning
- (2022) David Prihoda et al. mAbs
- In silico proof of principle of machine learning-based antibody design at unconstrained scale
- (2022) Rahmad Akbar et al. mAbs
- ProtGPT2 is a deep unsupervised language model for protein design
- (2022) Noelia Ferruz et al. Nature Communications
- Antibody design using LSTM based deep generative model from phage display library for affinity maturation
- (2021) Koichiro Saka et al. Scientific Reports
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
- (2021) Alexander Rives et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Protein design and variant prediction using autoregressive generative models
- (2021) Jung-Eun Shin et al. Nature Communications
- Five computational developability guidelines for therapeutic antibody profiling
- (2019) Matthew I. J. Raybould et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Thera-SAbDab: the Therapeutic Structural Antibody Database
- (2019) Matthew I J Raybould et al. NUCLEIC ACIDS RESEARCH
- Clustering huge protein sequence sets in linear time
- (2018) Martin Steinegger et al. Nature Communications
- Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires
- (2018) Aleksandr Kovaltsuk et al. JOURNAL OF IMMUNOLOGY
- In vitro and in silico assessment of the developability of a designed monoclonal antibody library
- (2018) Adriana-Michelle Wolf Pérez et al. mAbs
- Biophysical properties of the clinical-stage antibody landscape
- (2017) Tushar Jain et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- ANARCI: antigen receptor numbering and receptor classification
- (2015) James Dunbar et al. BIOINFORMATICS
- The CamSol Method of Rational Design of Protein Mutants with Enhanced Solubility
- (2015) Pietro Sormanni et al. JOURNAL OF MOLECULAR BIOLOGY
- Therapeutic antibodies: their mechanisms of action and the pathological findings they induce in toxicity studies
- (2015) Masami Suzuki et al. Journal of Toxicologic Pathology
- UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches
- (2014) B. E. Suzek et al. BIOINFORMATICS
- Prediction of Aggregation Prone Regions of Therapeutic Proteins
- (2010) Naresh Chennamsetty et al. JOURNAL OF PHYSICAL CHEMISTRY B
- IMGT(R), the international ImMunoGeneTics information system(R)
- (2008) M.-P. Lefranc et al. NUCLEIC ACIDS RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now