219 related articles for article (PubMed ID: 37938588)
1. Cell-free biosynthesis combined with deep learning accelerates de novo-development of antimicrobial peptides.
Pandi A; Adam D; Zare A; Trinh VT; Schaefer SL; Burt M; Klabunde B; Bobkova E; Kushwaha M; Foroughijabbari Y; Braun P; Spahn C; Preußer C; Pogge von Strandmann E; Bode HB; von Buttlar H; Bertrams W; Jung AL; Abendroth F; Schmeck B; Hummer G; Vázquez O; Erb TJ
Nat Commun; 2023 Nov; 14(1):7197. PubMed ID: 37938588
[TBL] [Abstract][Full Text] [Related]
2. Designing antimicrobial peptides using deep learning and molecular dynamic simulations.
Cao Q; Ge C; Wang X; Harvey PJ; Zhang Z; Ma Y; Wang X; Jia X; Mobli M; Craik DJ; Jiang T; Yang J; Wei Z; Wang Y; Chang S; Yu R
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36857616
[TBL] [Abstract][Full Text] [Related]
3. Identification of antimicrobial peptides from the human gut microbiome using deep learning.
Ma Y; Guo Z; Xia B; Zhang Y; Liu X; Yu Y; Tang N; Tong X; Wang M; Ye X; Feng J; Chen Y; Wang J
Nat Biotechnol; 2022 Jun; 40(6):921-931. PubMed ID: 35241840
[TBL] [Abstract][Full Text] [Related]
4. Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.
Das P; Sercu T; Wadhawan K; Padhi I; Gehrmann S; Cipcigan F; Chenthamarakshan V; Strobelt H; Dos Santos C; Chen PY; Yang YY; Tan JPK; Hedrick J; Crain J; Mojsilovic A
Nat Biomed Eng; 2021 Jun; 5(6):613-623. PubMed ID: 33707779
[TBL] [Abstract][Full Text] [Related]
5. A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against
Yan J; Zhang B; Zhou M; Campbell-Valois FX; Siu SWI
mSystems; 2023 Aug; 8(4):e0034523. PubMed ID: 37431995
[TBL] [Abstract][Full Text] [Related]
6. In silico design of antimicrobial peptides.
Maccari G; Di Luca M; Nifosì R
Methods Mol Biol; 2015; 1268():195-219. PubMed ID: 25555726
[TBL] [Abstract][Full Text] [Related]
7. De Novo Antimicrobial Peptide Design with Feedback Generative Adversarial Networks.
Zervou MA; Doutsi E; Pantazis Y; Tsakalides P
Int J Mol Sci; 2024 May; 25(10):. PubMed ID: 38791544
[TBL] [Abstract][Full Text] [Related]
8. Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database.
Al-Khdhairawi A; Sanuri D; Akbar R; Lam SD; Sugumar S; Ibrahim N; Chieng S; Sairi F
Comput Biol Chem; 2023 Feb; 102():107800. PubMed ID: 36516617
[TBL] [Abstract][Full Text] [Related]
9. AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens.
Li C; Sutherland D; Hammond SA; Yang C; Taho F; Bergman L; Houston S; Warren RL; Wong T; Hoang LMN; Cameron CE; Helbing CC; Birol I
BMC Genomics; 2022 Jan; 23(1):77. PubMed ID: 35078402
[TBL] [Abstract][Full Text] [Related]
10. Do deep learning models make a difference in the identification of antimicrobial peptides?
García-Jacas CR; Pinacho-Castellanos SA; García-González LA; Brizuela CA
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35380616
[TBL] [Abstract][Full Text] [Related]
11. 'Targeting' the search: An upgraded structural and functional repository of antimicrobial peptides for biofilm studies (B-AMP v2.0) with a focus on biofilm protein targets.
Ravichandran S; Avatapalli S; Narasimhan Y; Kaushik KS; Yennamalli RM
Front Cell Infect Microbiol; 2022; 12():1020391. PubMed ID: 36329825
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning Accelerates De Novo Design of Antimicrobial Peptides.
Yin K; Xu W; Ren S; Xu Q; Zhang S; Zhang R; Jiang M; Zhang Y; Xu D; Li R
Interdiscip Sci; 2024 Feb; ():. PubMed ID: 38416364
[TBL] [Abstract][Full Text] [Related]
13. Chemical modifications to increase the therapeutic potential of antimicrobial peptides.
Han Y; Zhang M; Lai R; Zhang Z
Peptides; 2021 Dec; 146():170666. PubMed ID: 34600037
[TBL] [Abstract][Full Text] [Related]
14. Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning.
Yan J; Cai J; Zhang B; Wang Y; Wong DF; Siu SWI
Antibiotics (Basel); 2022 Oct; 11(10):. PubMed ID: 36290108
[TBL] [Abstract][Full Text] [Related]
15. Probing intermolecular interactions and binding stability of antimicrobial peptides with beta-lactamase of
Chakkyarath V; Natarajan J
J Biomol Struct Dyn; 2022; 40(24):13641-13657. PubMed ID: 34676806
[TBL] [Abstract][Full Text] [Related]
16. An Overview of Databases and Bioinformatics Tools for Plant Antimicrobial Peptides.
Quintans ILADCR; de Araújo JVA; Rocha LNM; de Andrade AEB; do Rêgo TG; Deyholos MK
Curr Protein Pept Sci; 2022; 23(1):6-19. PubMed ID: 34951361
[TBL] [Abstract][Full Text] [Related]
17. Peptidomics-based identification of an antimicrobial peptide derived from goat milk fermented by Lactobacillus rhamnosus (C25).
Iram D; Kindarle UA; Sansi MS; Meena S; Puniya AK; Vij S
J Food Biochem; 2022 Dec; 46(12):e14450. PubMed ID: 36226982
[TBL] [Abstract][Full Text] [Related]
18. Atomic-Resolution Structures and Mode of Action of Clinically Relevant Antimicrobial Peptides.
Bhattacharjya S; Mohid SA; Bhunia A
Int J Mol Sci; 2022 Apr; 23(9):. PubMed ID: 35562950
[TBL] [Abstract][Full Text] [Related]
19. De novo design of antimicrobial polymers, foldamers, and small molecules: from discovery to practical applications.
Tew GN; Scott RW; Klein ML; Degrado WF
Acc Chem Res; 2010 Jan; 43(1):30-9. PubMed ID: 19813703
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening.
Zhang H; Saravanan KM; Wei Y; Jiao Y; Yang Y; Pan Y; Wu X; Zhang JZH
J Chem Inf Model; 2023 Feb; 63(3):835-845. PubMed ID: 36724090
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]