Addressing docking pose selection with structure-based deep learning: Recent advances, challenges and opportunities (vol 23, pg 2141, 2024)

被引:0
|
作者
Vittorio, Serena [1 ]
Lunghini, Filippo [2 ]
Morerio, Pietro [3 ]
Gadioli, Davide [4 ]
Orlandini, Sergio [5 ]
Silva, Paulo [6 ]
Martinovic, Jan [6 ]
Pedretti, Alessandro [1 ]
Bonanni, Domenico [7 ]
Del Bue, Alessio [3 ]
Palermo, Gianluca [4 ]
Vistoli, Giulio [1 ]
Beccari, Andrea R. [2 ]
机构
[1] Univ Milan, Dipartimento Sci Farmaceut, Via Luigi Mangiagalli 25, I-20133 Milan, Italy
[2] Dompe Farmaceut SpA, EXSCALATE, Via Tommaso de Amicis 95, I-80123 Naples, Italy
[3] Fdn Ist Italiano Tecnol, Pattern Anal & Comp Vis, Via Morego 30, I-16163 Genoa, Italy
[4] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Via Ponzio 34-5, I-20133 Milan, Italy
[5] CINECA, SCAI, Supercomp Applicat & Innovat Dept, Via dei Tizii 6, I-00185 Rome, Italy
[6] VSB Tech Univ Ostrava, IT4Innovat, 17 Listopadu 2172-15, Ostrava 70800, Czech Republic
[7] Univ Aquila, Dept Phys & Chem Sci, Via Vetoio, I-67010 Laquila, Italy
来源
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | 2024年 / 23卷
关键词
D O I
10.1016/j.csbj.2024.07.001
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
引用
收藏
页码:2963 / 2963
页数:1
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