SAR AND QSAR IN ENVIRONMENTAL RESEARCH
ISSN:1062-936X

SAR AND QSAR IN ENVIRONMENTAL RESEARCH

SAR QSAR ENVIRON RES
学科领域:环境科学与生态学
是否预警:不在预警名单内
是否OA:
录用周期:>24周,或约稿
新锐分区:环境科学与生态学3区
年发文量:52
影响因子:2.4
JCR分区:Q2

基本信息

环境研究中的SAR和QSAR是一本国际期刊,欢迎在环境科学、农业化学、毒理学、药理学和应用化学领域中关于结构-活性和结构-性质关系的基础和实践方面的论文。该杂志的一个独特方面是关注在这些广泛变化的领域中建立SAR和QSAR模型的新兴技术。该杂志的范围包括但不限于拓扑学和物理化学描述符、数据分析的数学、统计和图形方法、计算机方法和程序、原始应用和比较研究等主题。除了主要的科学论文,该杂志还包括书籍和软件的评论以及会议新闻。有关特区和QSAR社区当前和广泛关注的主题的特刊将不定期出版。
1062-936XSCIE/Scopus收录
2.4
2.7
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
环境科学与生态学3区
CHEMISTRY, MULTIDISCIPLINARY 化学:综合
3区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
4区
ENVIRONMENTAL SCIENCES 环境科学
3区
MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学
3区
TOXICOLOGY 毒理学
3区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:CHEMISTRY, MULTIDISCIPLINARY
SCIE
Q3
130/239
学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
SCIE
Q3
102/177
学科:ENVIRONMENTAL SCIENCES
SCIE
Q3
238/376
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY
SCIE
Q2
26/67
学科:TOXICOLOGY
SCIE
Q3
68/106
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:CHEMISTRY, MULTIDISCIPLINARY
SCIE
Q2
103/241
学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
SCIE
Q3
103/177
学科:ENVIRONMENTAL SCIENCES
SCIE
Q3
204/376
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY
SCIE
Q3
40/67
学科:TOXICOLOGY
SCIE
Q3
70/106
42
52
9%0>24周,或约稿-环境科学-毒理学
8.3%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
100.00%3.97%4.44%
CiteScore:4.20
SJR:0.342
SNIP:0.607
学科类别分区排名百分位
大类:Pharmacology, Toxicology and Pharmaceutics
小类:Drug Discovery
Q3
89 / 156
大类:Pharmacology, Toxicology and Pharmaceutics
小类:Bioengineering
Q3
106 / 163
大类:Pharmacology, Toxicology and Pharmaceutics
小类:Molecular Medicine
Q3
120 / 177

期刊高被引文献

Design and development of novel focal adhesion kinase (FAK) inhibitors using Monte Carlo method with index of ideality of correlation to validate QSAR
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2018.1564067
In silico design of diacylglycerol acyltransferase-1 (DGAT1) inhibitors based on SMILES descriptors using Monte-Carlo method
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1629998
Development of classification models for predicting chronic toxicity of chemicals to Daphnia magna and Pseudokirchneriella subcapitata
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2018.1545694
Ecotoxicological QSAR modelling of organic chemicals against Pseudokirchneriella subcapitata using consensus predictions approach
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1648315
Idealization of correlations between optimal simplified molecular input-line entry system-based descriptors and skin sensitization
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1615547
Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1576222
Molecular modelling studies on adamantane-based Ebola virus GP-1 inhibitors using docking, pharmacophore and 3D-QSAR
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1573377
Insight into structural features of phenyltetrazole derivatives as ABCG2 inhibitors for the treatment of multidrug resistance in cancer
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1615545
Could deep learning in neural networks improve the QSAR models?
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1650827
Prediction of the binding affinity of aptamers against the influenza virus
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2018.1558416
QSPR models for bioconcentration factor (BCF): are they able to predict data of industrial interest?
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1626278
Application of Interspecies Correlation Estimation (ICE) models and QSAR in estimating species sensitivity to pesticides
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1686716
Consensus models to predict oral rat acute toxicity and validation on a dataset coming from the industrial context
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1672089
An ensemble method for multi-type Gram-negative bacterial secreted protein prediction by integrating different PSSM-based features
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1573438
Modelling of ready biodegradability based on combined public and industrial data sources
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1697360
Conformal prediction of HDAC inhibitors
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1591503
Filter feature selectors in the development of binary QSAR models
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1588160
A simple approach for assessment of toxicity of nitroaromatic compounds without using complex descriptors and computer codes
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1595135
Modelling peak exposure of pesticides in terrestrial and aquatic ecosystems: importance of dissolved organic carbon and vertical particle movement in soil
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1686715
Could we expect new praziquantel derivatives? A meta pharmacometrics/pharmacoinformatics analysis of all antischistosomal praziquantel derivatives found in the literature
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1607898
Molecular mechanism of inhibitor bindings to bromodomain-containing protein 9 explored based on molecular dynamics simulations and calculations of binding free energies
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1701075
Development and rigorous validation of antimalarial predictive models using machine learning approaches
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1635526
A QSAR model for predicting antidiabetic activity of dipeptidyl peptidase-IV inhibitors by enhanced binary gravitational search algorithm
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1607899
Design of new CD38 inhibitors based on CoMFA modelling and molecular docking analysis of 4‑amino-8-quinoline carboxamides and 2,4-diamino-8-quinazoline carboxamides
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2018.1545695
iDHS-DMCAC: identifying DNase I hypersensitive sites with balanced dinucleotide-based detrending moving-average cross-correlation coefficient
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1615546
QSPR studies on water solubility, octanol-water partition coefficient and vapour pressure of pesticides
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1699602
Quantum-mechanical LSERs for the concentration-dependent adsorption of aromatic organic compounds by activated carbon: Applications and comparison with carbon nanotubes
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1566173
In silico study directed towards identification of the key structural features of GyrB inhibitors targeting MTB DNA gyrase: HQSAR, CoMSIA and molecular dynamics simulations
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1658218
QSAR and molecular docking studies of lethal factor protease inhibitors against Bacillus anthracis
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1658219
A robust model for estimating thermal conductivity of liquid alkyl halides
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1695225
Externally predictive quantum-mechanical models for the adsorption of aromatic organic compounds by graphene-oxide nanomaterials
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1666164
Supercomputer docking with a large number of degrees of freedom
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1659412
Drug-drug interaction prediction using PASS
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1653966
Consensus QSPR modelling for the prediction of cellular response and fibrinogen adsorption to the surface of polymeric biomaterials
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1607549
PASS-based prediction of metabolites detection in biological systems
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1665099
Peramivir binding affinity with influenza A neuraminidase and research on its mutations using an induced-fit docking approach
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1679248
QSPR modelling of the soil sorption coefficient from training sets of different sizes
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1586759
13C NMR chemical shift prediction of diverse chemical compounds
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1619621
Structure based designing of benzimidazole/benzoxazole derivatives as anti-leishmanial agents
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1684357
Toxicity profiling and prioritization of plant-derived antimalarial agents
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1665844
Rivality index neighbourhood algorithm with density and distances weighted schemes for the building of robust QSAR classification models with high reliable applicability domain
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1644666
Development of QSAAR and QAAR models for predicting fish early-life stage toxicity with a focus on industrial chemicals
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1669707
Fraction Lipophilicity Index (FLI). A drug-like metric for orally administered ionizable drugs
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1653363
Improving (Q)SAR predictions by examining bias in the selection of compounds for experimental testing
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1665580
In silico evaluation of pesticides as potential modulators of human DNA methyltransferases
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1666165
Short peptide with an inhibitory activity on the NMDA/Gly-induced currents
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1653965
Structural and molecular modelling studies of antimelanogenic piper-amide TRPM1 antagonists
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1574894
Molecular docking, design, synthesis and biological evaluation of novel 2,3-aryl-thiazolidin-4-ones as potent NNRTIs
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1653364
In silico prediction of dermal absorption of pesticides – an evaluation of selected models against results from in vitro testing
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1644533
Development of a read-across workflow for skin irritation and corrosion predictions
来源期刊:SAR and QSAR in Environmental ResearchDOI:10.1080/1062936X.2019.1595136

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