AI-driven antibody design with generative diffusion models: …
2024年9月30日 · Recent strides in computational and artificial intelligence (AI), especially generative diffusion models, have begun to address these challenges, offering novel approaches for antibody design.
Advances in Antibody Design - PMC - PubMed Central (PMC)
We review advances in designing the binding loops, scaffolds, domain interfaces, constant regions, post-translational and chemical modifications, and bispecific architectures of antibodies and fragments thereof to improve their bioactivity.
Antibody design using deep learning: from sequence and structure design …
2024年7月3日 · Researchers have devised novel techniques to streamline antibody development, combining in vitro and in silico methods. In particular, computational power expedites lead candidate generation, scaling and potential antibody development against complex antigens.
Antibody design using deep learning: from sequence and
2024年5月23日 · This survey highlights significant advancements in protein design and optimization, specifically focusing on antibodies. This includes various aspects such as design, folding, antibody-antigen interactions docking and affinity maturation.
Unlocking de novo antibody design with generative artificial
2023年1月9日 · Here we use generative deep learning models to de novo design antibodies against three distinct targets, in a zero-shot fashion, where all designs are the result of a single round of model generations with no follow-up optimization.
Advances in computational structure-based antibody design
2022年6月1日 · In this review, we describe how advances in protein structure prediction and other areas are bringing us closer to being able to entirely computationally design antibodies that bind strongly to a defined antigen epitope.
Accelerating antibody discovery and design with artificial …
2023年10月1日 · In antibody design, important design parameters include paratope, epitope, affinity, and developability, all of which should be included and optimized simultaneously. In the following reviews, we analyze each parameter in individual sections to provide readers with a better understanding.
Fragment-based computational design of antibodies targeting
2022年11月11日 · Here, we describe a fragment-based method for the combinatorial design of antibody binding loops and their grafting onto antibody scaffolds. We designed and tested six single-domain antibodies targeting different epitopes on three antigens, including the receptor-binding domain of the SARS-CoV-2 spike protein.
In Silico Methods in Antibody Design - PMC
This review summarizes recent progress in the field of in silico design of antibodies, including antibody structure modeling, antibody-antigen complex prediction, antibody stability evaluation, and allosteric effects in antibodies and functions.
Intelligent design of next-generation antibodies - Nature
Nabla Bio combines innovative artificial intelligence with proprietary wet-lab biology to design, refine and optimize next-generation therapeutic antibodies. Antibodies are a wonderful...