인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Numerous reports have demonstrated the construction of supramolecular nanodrugs (SNDs) via the π–π stacking of drug molecules for antitumor applications because most drugs possess aromatic rings or other planar conjugate units. However, the destruction of π–π stacking and the subsequent disassembly of SNDs under tumor microenvironment (TME), which is the precondition for drug release, have not been clearly described. In this work, based on a disassembly model of π–π stacked naphthoquinone SNDs, the influence of co‐assembled drugs on disassembly is delineated. Both the experimental observation and computational simulation indicate that the disassembly of SNDs under simulated TME highly depends on the disassembly activation energy ( ΔE dis ) of neighboring π–π stacked molecules. Owing to the high ΔE dis , the disassembly of self‐assembled naphthoquinone SNDs is greatly restricted. Meaningfully, the ΔE dis is the sum of a series of activation energy according to the specific stimuli of TME. Thus, a concept of stimuli‐responsive drug‐mates is proposed for boosting the disassembly of π–π stacked SNDs, namely the foremost co‐assembly of π‐conjugated drugs with additional drug molecules that possess relatively weak π–π interaction but high TME responsiveness. Further computational simulation reveals that the introduction of stimuli‐responsive drug‐mates significantly lowers the ΔE dis , thus accelerating the disassembly of SNDs and the release of drug payloads. Holding the advantages of π‐conjugated drug library, the concept of stimuli‐responsive drug‐mates gives an extensive design of π–π stacked SNDs toward heterogeneous nidus microenvironment responsiveness, which highlights the superiority of widely used drug co‐assembly strategy in constructing multifunctional SNDs.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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