Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Although the concept of allosterism has been known for over half a century, its application in drug discovery has exploded in recent years. The emergence of novel technologies that enable molecular-level ligand-receptor interactions to be studied in studied in unprecedented detail has driven this trend. This book, written by the leaders in this young research area, describes the latest developments in allosterism for drug discovery.
Bringing together research in a diverse range of scientific disciplines, Allosterism in Drug Discovery is a key reference for academics and industrialists interested in understanding allosteric interactions. The book provides an in-depth review of research using small molecules as chemical probes and drug candidates that interact allosterically with proteins of relevance to life sciences and human disease. Knowledge of these interactions can then be applied in the discovery of the novel therapeutics of the future.
This book will be useful for people working in all disciplines associated with drug discovery in academia or industry, as well as postgraduate students who may be working in the design of allosteric modulators.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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