{"title":"Resistance mutations, drug binding and drug residence times","authors":"Ran Friedman","doi":"10.1016/j.sbi.2025.103158","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid evolution of microorganisms and cancer cells makes it difficult to treat tumours and infectious diseases, because resistance to drugs is the rule rather than the exception. Structures or models of protein–drug complexes help to understand how mutations lead to resistance and to design better drugs. However, it is difficult to reason how small changes in the structure lead to drug resistance. Thus, protein and drug dynamics need to be considered. Strategies to increase drug residence are sought after to increase the efficacy of drugs. Computational methods to calculate the effect of mutations on drug binding and residence times are being developed and improved, but are challenging. A priori prediction of a mutation's effect on drug binding is an even greater challenge. On the other hand, knowledge about protein–drug complexes has led to the development of multiple design strategies that aim to reduce mutation-driven drug resistance.</div></div>","PeriodicalId":10887,"journal":{"name":"Current opinion in structural biology","volume":"95 ","pages":"Article 103158"},"PeriodicalIF":6.1000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in structural biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959440X25001769","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid evolution of microorganisms and cancer cells makes it difficult to treat tumours and infectious diseases, because resistance to drugs is the rule rather than the exception. Structures or models of protein–drug complexes help to understand how mutations lead to resistance and to design better drugs. However, it is difficult to reason how small changes in the structure lead to drug resistance. Thus, protein and drug dynamics need to be considered. Strategies to increase drug residence are sought after to increase the efficacy of drugs. Computational methods to calculate the effect of mutations on drug binding and residence times are being developed and improved, but are challenging. A priori prediction of a mutation's effect on drug binding is an even greater challenge. On the other hand, knowledge about protein–drug complexes has led to the development of multiple design strategies that aim to reduce mutation-driven drug resistance.
期刊介绍:
Current Opinion in Structural Biology (COSB) aims to stimulate scientifically grounded, interdisciplinary, multi-scale debate and exchange of ideas. It contains polished, concise and timely reviews and opinions, with particular emphasis on those articles published in the past two years. In addition to describing recent trends, the authors are encouraged to give their subjective opinion of the topics discussed.
In COSB, we help the reader by providing in a systematic manner:
1. The views of experts on current advances in their field in a clear and readable form.
2. Evaluations of the most interesting papers, annotated by experts, from the great wealth of original publications.
[...]
The subject of Structural Biology is divided into twelve themed sections, each of which is reviewed once a year. Each issue contains two sections, and the amount of space devoted to each section is related to its importance.
-Folding and Binding-
Nucleic acids and their protein complexes-
Macromolecular Machines-
Theory and Simulation-
Sequences and Topology-
New constructs and expression of proteins-
Membranes-
Engineering and Design-
Carbohydrate-protein interactions and glycosylation-
Biophysical and molecular biological methods-
Multi-protein assemblies in signalling-
Catalysis and Regulation