COMPUTERS IN BIOLOGY AND MEDICINE生物与医学中的计算机
COMPUTERS IN BIOLOGY AND MEDICINE(英文缩写 COMPUT BIOL MED),ISSN 0010-4825,eISSN 1879-0534,中文译名:生物与医学中的计算机 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2020 | 4.589 | Q1 |
| 2021 | 6.698 | Q1 |
| 2022 | 7.700 | Q1 |
| 2023 | 7.000 | Q1 |
| 2024 | 6.300 | Q1 |
COMPUTERS IN BIOLOGY AND MEDICINE 最新收录文献
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2. Retraction notice to "Based on the Cancer Genome Atlas Database Development of a prognostic model of RNA binding protein in stomach adenocarcinoma" [Computers in Biology and Medicine 164 (2023) 107307].
2. 关于“基于癌症基因组图谱数据库开发胃腺癌RNA结合蛋白预后模型”的撤稿通知 [《生物学与医学计算机》164 (2023) 107307]PMID:日期:2026-10-05该文献暂无摘要。
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3. Retraction notice to "An effective model for predicting serum albumin level in hemodialysis patients" [Computers in Biology and Medicine 140 (2022) 105054].
3. 关于“预测血液透析患者血清白蛋白水平的有效模型”的撤稿通知 [《生物学与医学中的计算机》140 (2022) 105054]PMID:日期:2026-10-05该文献暂无摘要。
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4. Retraction notice to "A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue" [Computers in Biology and Medicine 113 (2019) 103385].
4. 关于“一种识别在脑组织中协同表达的血液细胞表达帕金森病生物标志物的计算方法”的撤稿通知 [《生物医学中的计算机》113 (2019) 103385]PMID:日期:2026-10-05该文献暂无摘要。
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6. Retraction notice to "Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis" [Computers in Biology and Medicine 135 (2021) 104582].
6. 关于“使用增强正弦余弦算法的演化模糊k近邻算法：狼疮性肾炎案例研究”的撤稿通知 [《生物学与医学中的计算机》135 (2021) 104582]PMID:日期:2026-10-04该文献暂无摘要。
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7. Retraction notice to "Non-invasive STEMI-related biomarkers based on meta-analysis and gene prioritization" [Computers in Biology and Medicine 161 (2023) 106997].
7. 关于“基于荟萃分析和基因优先级排序的非侵入性STEMI相关生物标志物”的撤稿通知[《生物学与医学中的计算机》161 (2023) 106997]PMID:日期:2026-10-04该文献暂无摘要。
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8. Retraction notice to "Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease" [Computers in Biology and Medicine 134 (2021) 104427].
8. 关于“基于扩散关联黏菌算法和Renyi熵的多阈值图像分割用于慢性阻塞性肺疾病”的撤稿通知 [《生物学与医学中的计算机》134 (2021) 104427]PMID:日期:2026-10-04该文献暂无摘要。
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9. Retraction notice to "Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis" [Computers in Biology and Medicine 143 (2022) 105206].
9. 关于“基于对立蚱蜢优化的支持向量机在急性阑尾炎诊断中的性能优化”的撤稿通知 [《生物学与医学中的计算机》143 (2022) 105206]PMID:日期:2026-10-04该文献暂无摘要。
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10. Harnessing Annona muricata phytochemicals for multi-target cancer therapy: An integrated network pharmacology and in-silico study.
10. 利用刺果番荔枝植物化学物进行多靶点癌症治疗：一项整合网络药理学与计算机模拟的研究PMID:日期:2026-10-03Lung and breast cancers are among the major causes of cancer-related morbidity and mortality worldwide. Both these cancers share several dysregulated molecular processes, including common oncogenic signaling pathways and molecular targets. Therefore, the current study focuses on the dual anticancer potential of Annona muricata. Natural products from medicinal plants are recognized as valuable sources of bioactive compounds with potential anticancer activity. In the present study, an integrated network pharmacology and in-silico approach was employed to identify potential phytoconstituents from Annona muricata against lung and breast cancers. Initially, 63 phytochemicals were collected from the IMPPAT database and screened using ADMET and toxicity prediction, resulting in nine compounds with favorable pharmacokinetic and safety profiles. Network pharmacology identified 12,321 common genes associated with both cancers, from which 209 potential targets were obtained. Protein-protein interaction analysis identified key hub genes, including HSP90AA1, MMP9, HIF1A, and MDM2, for molecular docking. Docking revealed that HIF-1α (PDB ID: 3KCX) provided the most favorable binding environment. Among the screened phytochemicals, (-)-Coreximine showed the strongest interaction with HIS199 and ASP201. MM-GBSA confirmed its highest binding affinity (-39.47 kcal/mol), while DFT and molecular dynamics simulations demonstrated stability and persistent binding. Overall, these computational findings suggest that (-)-Coreximine may attenuate cancer progression through modulation of HIF-1α-associated pathways and represents a promising natural lead for further investigation.