AI-driven antibody design with generative diffusion models: …
Sep 30, 2024 · 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 …
Jul 3, 2024 · 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
May 23, 2024 · 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
Jan 9, 2023 · 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
Jun 1, 2022 · 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 …
Oct 1, 2023 · 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 …
Fragment-based computational design of antibodies targeting
Nov 11, 2022 · 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...