Prima di Memmo, i miei appunti erano sparsi tra mille PDF. Ora uno spazio di lavoro raccoglie tutto in un unico posto, e vedo esattamente cosa mi resta da studiare.
Up-to-date reference surveying the latest advances in the structural understanding of protein-protein interactions and developments in drug discovery and therapeutics
Targeting Protein–Protein Interactions for Drug Discovery provides a systematic and comprehensive overview of protein-protein interactions (PPIs), reviewing foundational concepts, advanced methodologies, and emerging therapeutic strategies, reflecting the multidisciplinary nature of PPI research.
This book discusses computational methods for predicting PPI structures, with a special emphasis on protein docking and deep learning-based approaches, diverse chemical scaffolds for PPI modulation, including foldamers as inhibitors of aberrant PPIs and sulfonyl-γ-AApeptides as novel modulators, and the development and application of stapled peptides as modulators of intracellular PPIs, offering enhanced stability, binding affinity, and cellular permeability.
Readers will also find information on cyclic peptides, focusing on their unique conformational stabilization and therapeutic potential across a range of diseases, small molecule inhibitors targeting BCL-family proteins, revealing their potential in cancer therapy, molecular glues as activators for PPIs, categorized into degraders, stabilizers, and inhibitors based on their biological effects, and the targeting of the APC–Asef interaction for drug discovery in colorectal cancer therapy, offering a case study of specificity and clinical relevance.
Targeting Protein–Protein Interactions for Drug Discovery explores sample topics including:
Exploring both classical and novel approaches to PPI characterization and modulation, Targeting Protein–Protein Interactions for Drug Discovery offers a comprehensive reference for researchers aiming to unlock the therapeutic potential of PPIs along with educators and students engaged in the study of cellular mechanisms, drug discovery, and biotechnology.
Prima di Memmo, i miei appunti erano sparsi tra mille PDF. Ora uno spazio di lavoro raccoglie tutto in un unico posto, e vedo esattamente cosa mi resta da studiare.
I riassunti di Memmo sono oro puro prima degli esami. Non devo rileggere 800 pagine due settimane prima, solo le parti importanti.
La chat AI mi ha salvato più di una volta la sera prima di un esame. Continuo a chiedere finché non capisco, senza aspettare risposte da un gruppo di studio.
I quiz colpiscono esattamente ciò che devo sapere. Memmo tiene traccia di dove mi blocco, così mi esercito solo su ciò che conta davvero.
Le flashcard con ripetizione spaziata sono magia pura. Memmo sa quando sto per dimenticare qualcosa e me lo ripropone.
I podcast AI sono i miei preferiti. Li ascolto mentre vado a scuola e ripasso senza stare davanti al computer.
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