A review of deep learning methods for antibodies
Driven by its successes across domains such as computer vision and natural language
processing, deep learning has recently entered the field of biology by aiding in cellular …
processing, deep learning has recently entered the field of biology by aiding in cellular …
Antibody variable region engineering for improving cancer immunotherapy
H Lou, X Cao - Cancer Communications, 2022 - Wiley Online Library
The efficacy and specificity of conventional monoclonal antibody (mAb) drugs in the clinic
require further improvement. Currently, the development and application of novel antibody …
require further improvement. Currently, the development and application of novel antibody …
Evaluating protein binding interfaces with transformer networks
Computational protein-binding studies are widely used to investigate fundamental biological
processes and facilitate the development of modern drugs, vaccines and therapeutics …
processes and facilitate the development of modern drugs, vaccines and therapeutics …
[HTML][HTML] Artificial intelligence approaches to human-microbiome protein–protein interactions
Host-microbiome interactions play significant roles in human health and disease. Artificial
intelligence approaches have been developed to better understand and predict the …
intelligence approaches have been developed to better understand and predict the …
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
This perspective sheds light on the transformative impact of recent computational
advancements in the field of protein therapeutics, with a particular focus on the design and …
advancements in the field of protein therapeutics, with a particular focus on the design and …
ProInterVal: Validation of Protein–Protein Interfaces through Learned Interface Representations
Proteins are vital components of the biological world and serve a multitude of functions.
They interact with other molecules through their interfaces and participate in crucial cellular …
They interact with other molecules through their interfaces and participate in crucial cellular …
Improving classification of correct and incorrect protein–protein docking models by augmenting the training set
Motivation Protein–protein interactions drive many relevant biological events, such as
infection, replication and recognition. To control or engineer such events, we need to access …
infection, replication and recognition. To control or engineer such events, we need to access …
Artificial Intelligence for Microbiology and Microbiome Research
Advancements in artificial intelligence (AI) have transformed many scientific fields, with
microbiology and microbiome research now experiencing significant breakthroughs through …
microbiology and microbiome research now experiencing significant breakthroughs through …
PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks
The computational studies of protein binding are widely used to investigate fundamental
biological processes and facilitate the development of modern drugs, vaccines, and …
biological processes and facilitate the development of modern drugs, vaccines, and …