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Recent developments in molecular modeling tools and applications related to pharmaceutical and biomedical research
被引:13
作者:
Peluso, Paola
[1
]
Chankvetadze, Bezhan
[2
]
机构:
[1] CNR, Ist Chim Biomol ICB, Sede Secondaria Sassari, Traversa Crucca 3, I-07100 Sassari, Italy
[2] Tbilisi State Univ, Inst Phys & Analyt Chem, Sch Exact & Nat Sci, Chavchavadze Ave 3, Tbilisi 0179, Georgia
关键词:
Computationals;
Molecular dynamics;
Molecular modeling;
Noncovalent interactions;
Separation;
CHIRAL STATIONARY PHASES;
DOCKING;
DESIGN;
RECOGNITION;
SEPARATION;
PRINCIPLES;
INHIBITORS;
DYNAMICS;
NMR;
D O I:
10.1016/j.jpba.2023.115836
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
In modern pharmaceutical and biomedical research, molecular modeling represents a useful tool to explore processes and their mechanistic bases at the molecular level. Integrating experimental and virtual analysis is a fruitful approach to study ligand-receptor interaction in chemical, biochemical and biological environments. In these fields, molecular docking and molecular dynamics are considered privileged techniques for modeling (bio) macromolecules and related complexes. This review aims to present the current landscape of molecular modeling in pharmaceutical and biomedical research by examining selected representative applications published in the last years and highlighting current topics and trends of this field. Thus, a systematic compilation of all published literature has not been attempted herein. After a brief overview of the main theoretical and computational tools used to investigate mechanisms at molecular level, recent applications of molecular modeling in drug discovery, ligand binding and for studying protein conformation and function will be discussed. Furthermore, specific sections will be devoted to the application of molecular modeling for unravelling enantioselective mechanisms underlying the enantioseparation of chiral compounds of pharmaceutical and biomedical interest as well as for studying new forms of noncovalent interactivity identified in biochemical and biological environments. The general aim of this review is to provide the reader with a modern overview of the topic, highlighting advancements and outlooks as well as drawbacks and pitfalls still affecting the applicability of theoretical and computational methods in the field of pharmaceutical and biomedical research.
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页数:13
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