Paper Review Records
全部论文审稿周期
10 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期；保留 PDF/DOI/网页源链接
108
天
Predicting drug-target interactions and binding affinity using an optimized deep learning approach
作者
Sheo Kumar; Amritpal Singh展开收起
作者单位
1. Department of Computer Science & Engineering, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, India; 2. ShriRam Institute of Information Technology (SRIIT), Banmore, India展开收起
159
天
Discovery of potent thymidine phosphorylase inhibitors from Euphorbia pulcherrima Willd. ex Klotzsch with experimental validation and computational analysis
作者
Abdur Rauf; Saima Naz; Muhammad Umer Khan; Maha Munir; Zuneera Akram; Walaa F. Alsanie; Abdulhakeem S. Alamri; Amal F. Alshammary; Marcello Iriti展开收起
作者单位
1. Department of Chemistry, University of Swabi, Anbar, Swabi, Pakistan; 2. Department of Biotechnology, Bacha Khan University, Charsadda, Pakistan; 3. Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan; 4. University of Catanzaro Magna Graecia, Catanzaro, Italy; 5. Department of Pharmacology, Faculty of Pharmaceutical Sciences, Baqai Medical University, Karachi, Pakistan; 6. Department of Clinical Laboratory Sciences, The faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia; 7. Research center for health sciences, Taif University, Taif, Saudi Arabia; 8. Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia; 9. Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy; 10. National Interuniversity Consortium of Materials Science and Technology (INSTM), Firenze, Italy展开收起
81
天
Evaluation of novel topiramate–phenolic acid conjugates as potent pancreatic α-amylase inhibitors: in vitro and in silico insights
作者
Ipsa Padhy; Tripti Sharma; Anshuman Chandra; Abanish Biswas展开收起
作者单位
1. Department of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India; 2. Bombay College of Pharmacy, Mumbai, India; 3. School of Physical Sciences, Jawaharlal Nehru University, New Delhi, India; 4. Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Mesra, Ranchi, India展开收起
125
天
Design of novel PI3Kα and PI3Kγ inhibitors for cancer treatment using pharmacophore, protein–ligand contacts, and machine learning methods
作者
Priyanka Andola; Mukesh Doble展开收起
作者单位
1. University of Hyderabad, Hyderabad, India; 2. Department of Cariology, Saveetha Dental College and Hospitals, SIMATS, Chennai, India展开收起
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我是环境工程专业，需要一篇 SCI，希望 3 个月内见刊。没有基金，也没有大牛挂名，可以投哪些期刊？
CrushSCI回复
可以。先按 90 天时限做可行性筛选，同步查找无基金、无知名作者挂靠的典型论文案例，作为选刊依据。重点核对研究质量与期刊 scope。
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- 《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》
样本口径2026 年最近 5 篇有效论文样本
平均审稿62 天
中位数65 天