From Immune Repertoires to Antibodies: Advancing Discovery with Single-Cell Technologies and AI（シングルセル解析とAI技術が拓く次世代抗体探索）

近年、シングルセル解析技術やAI技術の発展により、抗体探索における解析手法や候補抗体の選定プロセスは大きく進化しています。

本セミナーでは、シングルセル技術を活用した免疫情報解析による抗体候補探索、および複数の動物種から取得される多様な抗体配列情報を活用した抗体探索手法について紹介します。

さらに、抗体配列情報の解析やAIを活用した候補抗体選定、in silicoによる親和性成熟（Affinity Maturation）など、抗体開発を効率化するための新たな取り組みについて解説します。

（英語概要：

Antibody discovery is rapidly evolving through advances in single-cell technologies, immune repertoire profiling, and artificial intelligence.

This seminar will introduce how single-cell approaches can enable analysis of immune repertoires and efficient discovery of diverse antibody candidates across species.

We will also explore how AI can complement experimental antibody discovery by supporting sequence analysis and candidate selection.
In particular, AI-enabled in silico approaches can support virtual affinity maturation by computationally designing and prioritizing antibody variants with the potential to improve binding affinity.
These approaches can help narrow down a large number of potential sequence variants to a smaller set of promising candidates for experimental validation, potentially making affinity maturation more efficient and reducing experimental screening efforts.

Together, these technologies offer new opportunities to accelerate antibody discovery and development and to build more efficient next-generation discovery workflows.）