Target identification by structure-based computational approaches: Recent advances and perspectives

被引:0
作者
De Vita, Simona [1 ]
Chini, Maria Giovanna [2 ]
Bifulco, Giuseppe [1 ]
Lauro, Gianluigi [1 ]
机构
[1] Univ Salerno, Dept Pharm, Via Giovanni Paolo 2132, I-84084 Fisciano, SA, Italy
[2] Univ Molise, Dept Biosci & Terr, I-86090 Pesche, IS, Italy
关键词
Target identification; Drug repurposing; Computational methods; Small molecules; Polypharmacology; ACCURATE DOCKING; PROTEIN TARGETS; DRUG DISCOVERY; DATABASE; GLIDE; PREDICTION; ENRICHMENT; BINDING; UPDATE; IMPACT;
D O I
10.1016/j.bmcl.2023.129171
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The use of computational techniques in the early stages of drug discovery has recently experienced a boost, especially in the target identification step. Finding the biological partner(s) for new or existing synthetic and/or natural compounds by "wet" approaches may be challenging; therefore, preliminary in silico screening is even more recommended. After a brief overview of some of the most known target identification techniques, recent advances in structure-based computational approaches for target identification are reported in this digest, focusing on Inverse Virtual Screening and its recent applications. Moreover, future perspectives concerning the use of such methodologies, coupled or not with other approaches, are analyzed.
引用
收藏
页数:11
相关论文
共 50 条
[41]   Perspectives for the structure-based design of acetylcholinesterase reactivators [J].
Ochoa, Rodrigo ;
Rodriguez, Carlos A. ;
Zuluaga, Andres F. .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2016, 68 :176-183
[42]   Structure-Based Design in the GPCR Target Space [J].
Kontoyianni, M. ;
Liu, Z. .
CURRENT MEDICINAL CHEMISTRY, 2012, 19 (04) :544-556
[43]   Computational Structure-Based De Novo Design of Hypothetical Inhibitors against the Anti-Inflammatory Target COX-2 [J].
Dhanjal, Jaspreet Kaur ;
Sreenidhi, Anith Kumar ;
Bafna, Khushboo ;
Katiyar, Shashank Prakash ;
Goyal, Sukriti ;
Grover, Abhinav ;
Sundar, Durai .
PLOS ONE, 2015, 10 (08)
[44]   Facing the Challenges of Structure-Based Target Prediction by Inverse Virtual Screening [J].
Schomburg, Karen T. ;
Bietz, Stefan ;
Briem, Hans ;
Henzler, Angela M. ;
Urbaczek, Sascha ;
Rarey, Matthias .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2014, 54 (06) :1676-1686
[45]   Computational Method for Structure-Based Analysis of SAR Transfer [J].
Bonanni, Davide ;
Lolli, Marco L. ;
Bajorath, Juergen .
JOURNAL OF MEDICINAL CHEMISTRY, 2020, 63 (03) :1388-1396
[46]   Antibody humanization by structure-based computational protein design [J].
Choi, Yoonjoo ;
Hua, Casey ;
Sentman, Charles L. ;
Ackerman, Margaret E. ;
Bailey-Kellogg, Chris .
MABS, 2015, 7 (06) :1045-1057
[47]   Isolation and identification of the new baicalin target protein to develop flavonoid structure-based therapeutic agents [J].
Kusakabe, Yoshio ;
Moriya, Shun-Suke ;
Sugiyama, Toru ;
Miyata, Yoshiki .
BIOORGANIC & MEDICINAL CHEMISTRY, 2023, 90
[48]   HLA3D: an integrated structure-based computational toolkit for immunotherapy [J].
Li, Xingyu ;
Lin, Xue ;
Mei, Xueyin ;
Chen, Pin ;
Liu, Anna ;
Liang, Weicheng ;
Chang, Shan ;
Li, Jian .
BRIEFINGS IN BIOINFORMATICS, 2022, 23 (03)
[49]   Structure-based identification of small molecules against influenza A virus endonuclease: an in silico and in vitro approach [J].
Disha, Sai K. ;
Puranik, Rashmi ;
Sudheesh, N. ;
Kavitha, K. ;
Fathima, Fajeelath ;
Anu, K. R. ;
Joseph, Alex ;
Anitha, J. ;
Arunkumar, G. ;
Mudgal, Piya Paul .
PATHOGENS AND DISEASE, 2020, 78 (04)
[50]   Structure-Based Molecular Modeling Approaches to GPCR Oligomerization [J].
Kaczor, Agnieszka A. ;
Selent, Jana ;
Poso, Antti .
RECEPTOR-RECEPTOR INTERACTIONS, 2013, 117 :91-104