142 related articles for article (PubMed ID: 38579549)
1. K
Das P; Mazumder DH
Comput Biol Chem; 2024 Jun; 110():108066. PubMed ID: 38579549
[TBL] [Abstract][Full Text] [Related]
2. Efficient machine learning model for predicting drug-target interactions with case study for Covid-19.
El-Behery H; Attia AF; El-Feshawy N; Torkey H
Comput Biol Chem; 2021 Aug; 93():107536. PubMed ID: 34271420
[TBL] [Abstract][Full Text] [Related]
3. Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning.
Kropiwnicki E; Evangelista JE; Stein DJ; Clarke DJB; Lachmann A; Kuleshov MV; Jeon M; Jagodnik KM; Ma'ayan A
Database (Oxford); 2021 Mar; 2021():. PubMed ID: 33787872
[TBL] [Abstract][Full Text] [Related]
4. AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches.
Pang Y; Yao L; Jhong JH; Wang Z; Lee TY
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34279599
[TBL] [Abstract][Full Text] [Related]
5. Discovery of new drug indications for COVID-19: A drug repurposing approach.
Kumari P; Pradhan B; Koromina M; Patrinos GP; Steen KV
PLoS One; 2022; 17(5):e0267095. PubMed ID: 35609015
[TBL] [Abstract][Full Text] [Related]
6. SAveRUNNER: A network-based algorithm for drug repurposing and its application to COVID-19.
Fiscon G; Conte F; Farina L; Paci P
PLoS Comput Biol; 2021 Feb; 17(2):e1008686. PubMed ID: 33544720
[TBL] [Abstract][Full Text] [Related]
7. Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment.
Liu J; Xu L; Guo W; Li Z; Khan MKH; Ge W; Patterson TA; Hong H
Exp Biol Med (Maywood); 2023 Nov; 248(21):1927-1936. PubMed ID: 37997891
[TBL] [Abstract][Full Text] [Related]
8. Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction.
Xuan P; Li P; Cui H; Wang M; Nakaguchi T; Zhang T
Molecules; 2023 Sep; 28(18):. PubMed ID: 37764319
[TBL] [Abstract][Full Text] [Related]
9. Prediction of adverse drug reactions using drug convolutional neural networks.
Mantripragada AS; Teja SP; Katasani RR; Joshi P; V M; Ramesh R
J Bioinform Comput Biol; 2021 Feb; 19(1):2050046. PubMed ID: 33472571
[TBL] [Abstract][Full Text] [Related]
10. Attention Mechanism-Based Graph Neural Network Model for Effective Activity Prediction of SARS-CoV-2 Main Protease Inhibitors: Application to Drug Repurposing as Potential COVID-19 Therapy.
Wu Y; Li K; Li M; Pu X; Guo Y
J Chem Inf Model; 2023 Nov; 63(22):7011-7031. PubMed ID: 37960886
[TBL] [Abstract][Full Text] [Related]
11. COVID-19 prediction based on genome similarity of human SARS-CoV-2 and bat SARS-CoV-like coronavirus.
Arslan H
Comput Ind Eng; 2021 Nov; 161():107666. PubMed ID: 34511707
[TBL] [Abstract][Full Text] [Related]
12. Molecular Docking and Virtual Screening Based Prediction of Drugs for COVID-19.
Talluri S
Comb Chem High Throughput Screen; 2021; 24(5):716-728. PubMed ID: 32798373
[TBL] [Abstract][Full Text] [Related]
13. A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials.
Mongia A; Saha SK; Chouzenoux E; Majumdar A
Sci Rep; 2021 Apr; 11(1):9047. PubMed ID: 33907209
[TBL] [Abstract][Full Text] [Related]
14. AVNM: A Voting based Novel Mathematical Rule for Image Classification.
Vidyarthi A; Mittal N
Comput Methods Programs Biomed; 2016 Dec; 137():195-201. PubMed ID: 28110724
[TBL] [Abstract][Full Text] [Related]
15. DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response.
Huang Z; Zhang P; Deng L
Bioinformatics; 2023 Jun; 39(39 Suppl 1):i475-i483. PubMed ID: 37387168
[TBL] [Abstract][Full Text] [Related]
16. A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.
Su X; Hu L; You Z; Hu P; Wang L; Zhao B
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34965582
[TBL] [Abstract][Full Text] [Related]
17. Predicting drug side effects by multi-label learning and ensemble learning.
Zhang W; Liu F; Luo L; Zhang J
BMC Bioinformatics; 2015 Nov; 16():365. PubMed ID: 26537615
[TBL] [Abstract][Full Text] [Related]
18. Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2.
Manavalan B; Basith S; Lee G
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34595489
[TBL] [Abstract][Full Text] [Related]
19. In silico approach: docking study of oxindole derivatives against the main protease of COVID-19 and its comparison with existing therapeutic agents.
Shah VR; Bhaliya JD; Patel GM
J Basic Clin Physiol Pharmacol; 2021 Feb; 32(3):197-214. PubMed ID: 33594850
[TBL] [Abstract][Full Text] [Related]
20. Repurposing existing drugs for the treatment of COVID-19/SARS-CoV-2 infection: A review describing drug mechanisms of action.
Yousefi H; Mashouri L; Okpechi SC; Alahari N; Alahari SK
Biochem Pharmacol; 2021 Jan; 183():114296. PubMed ID: 33191206
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
