An improved PMF scoring function for universally predicting the interactions of a ligand with protein, DNA, and RNA
文献类型:期刊论文
作者 | Zhao, Xiaoyu1; Liu, Xiaofeng2; Wang, Yuanyuan2; Chen, Zhi2; Kang, Ling1; Zhang, Hailei1; Luo, Xiaomin2![]() ![]() ![]() |
刊名 | JOURNAL OF CHEMICAL INFORMATION AND MODELING
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出版日期 | 2008-07 |
卷号 | 48期号:7页码:1438-1447 |
ISSN号 | 1549-9596 |
DOI | 10.1021/ci7004719 |
文献子类 | Article |
英文摘要 | An improved potential mean force (PMF) scoring function, named KScore, has been developed by using 23 redefined ligand atom types and 17 protein atom types, as well as 28 newly introduced atom types for nucleic acids (DNA and RNA). Metal ions and water molecules embedded in the binding sites of receptors are considered explicitly by two newly defined atom types. The individual potential terms were devised on the basis of the high-resolution crystal and NMR structures of 2422 protein-ligand complexes, 300 DNA-ligand complexes, and 97 RNA-ligand complexes. The optimized atom pairwise distances and minima of the potentials overcome some of the disadvantages and ambiguities of current PMF potentials; thus, they more reasonably explain the atomic interaction between receptors and ligands. KScore was validated against five test sets of protein-ligand complexes and two sets of nucleic-acid-ligand complexes. The results showed acceptable correlations between KScore scores and experimentally determined binding affinities (log K-i's or binding free energies). In particular, KScore can be used to rank the binding of ligands with metalloproteins; the linear correlation coefficient (R) for the test set is 0.65. In addition to reasonably ranking protein-ligand interactions, KScore also yielded good results for scoring DNA/RNA-ligand interactions; the linear correlation coefficients for DNA-ligand and RNA-ligand complexes are 0.68 and 0.81, respectively. Moreover, KScore can appropriately reproduce the experimental structures of ligand-receptor complexes. Thus, KScore is an appropriate scoring function for universally ranking the interactions of ligands with protein, DNA, and RNA. |
WOS关键词 | CATION-PI INTERACTIONS ; DE-NOVO DESIGN ; BINDING AFFINITIES ; FREE-ENERGY ; COMPUTATIONAL PROTOCOL ; ACCESSIBLE DATABASE ; MOLECULAR DOCKING ; AUTOMATED DOCKING ; PDBBIND DATABASE ; COMPLEXES |
WOS研究方向 | Pharmacology & Pharmacy ; Chemistry ; Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000258004300014 |
出版者 | AMER CHEMICAL SOC |
源URL | [http://119.78.100.183/handle/2S10ELR8/272879] ![]() |
专题 | 药物发现与设计中心 中科院受体结构与功能重点实验室 新药研究国家重点实验室 |
通讯作者 | Li, Honglin |
作者单位 | 1.Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China; 2.Chinese Acad Sci, Drug Discovery & Design Ctr, Shanghai Inst Mat Med, State Key Lab Drug Res, Shanghai 201203, Peoples R China; 3.E China Univ Sci & Technol, Sch Pharm, Shanghai 200237, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Xiaoyu,Liu, Xiaofeng,Wang, Yuanyuan,et al. An improved PMF scoring function for universally predicting the interactions of a ligand with protein, DNA, and RNA[J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING,2008,48(7):1438-1447. |
APA | Zhao, Xiaoyu.,Liu, Xiaofeng.,Wang, Yuanyuan.,Chen, Zhi.,Kang, Ling.,...&Jiang, Hualiang.(2008).An improved PMF scoring function for universally predicting the interactions of a ligand with protein, DNA, and RNA.JOURNAL OF CHEMICAL INFORMATION AND MODELING,48(7),1438-1447. |
MLA | Zhao, Xiaoyu,et al."An improved PMF scoring function for universally predicting the interactions of a ligand with protein, DNA, and RNA".JOURNAL OF CHEMICAL INFORMATION AND MODELING 48.7(2008):1438-1447. |
入库方式: OAI收割
来源:上海药物研究所
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