743 related articles for article (PubMed ID: 24058508)
1. In silico approach for predicting toxicity of peptides and proteins.
Gupta S; Kapoor P; Chaudhary K; Gautam A; Kumar R; ; Raghava GP
PLoS One; 2013; 8(9):e73957. PubMed ID: 24058508
[TBL] [Abstract][Full Text] [Related]
2. In silico approaches for designing highly effective cell penetrating peptides.
Gautam A; Chaudhary K; Kumar R; Sharma A; Kapoor P; Tyagi A; ; Raghava GP
J Transl Med; 2013 Mar; 11():74. PubMed ID: 23517638
[TBL] [Abstract][Full Text] [Related]
3. In silico models for designing and discovering novel anticancer peptides.
Tyagi A; Kapoor P; Kumar R; Chaudhary K; Gautam A; Raghava GP
Sci Rep; 2013 Oct; 3():2984. PubMed ID: 24136089
[TBL] [Abstract][Full Text] [Related]
4. A Web Server and Mobile App for Computing Hemolytic Potency of Peptides.
Chaudhary K; Kumar R; Singh S; Tuknait A; Gautam A; Mathur D; Anand P; Varshney GC; Raghava GP
Sci Rep; 2016 Mar; 6():22843. PubMed ID: 26953092
[TBL] [Abstract][Full Text] [Related]
5. ToxinPred2: an improved method for predicting toxicity of proteins.
Sharma N; Naorem LD; Jain S; Raghava GPS
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35595541
[TBL] [Abstract][Full Text] [Related]
6. In Silico Design of Anticancer Peptides.
Kumar S; Li H
Methods Mol Biol; 2017; 1647():245-254. PubMed ID: 28809008
[TBL] [Abstract][Full Text] [Related]
7. Designing of interferon-gamma inducing MHC class-II binders.
Dhanda SK; Vir P; Raghava GP
Biol Direct; 2013 Dec; 8():30. PubMed ID: 24304645
[TBL] [Abstract][Full Text] [Related]
8. Peptide toxicity prediction.
Gupta S; Kapoor P; Chaudhary K; Gautam A; Kumar R; Raghava GP
Methods Mol Biol; 2015; 1268():143-57. PubMed ID: 25555724
[TBL] [Abstract][Full Text] [Related]
9. AntiCP 2.0: an updated model for predicting anticancer peptides.
Agrawal P; Bhagat D; Mahalwal M; Sharma N; Raghava GPS
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32770192
[TBL] [Abstract][Full Text] [Related]
10. Designing of peptides with desired half-life in intestine-like environment.
Sharma A; Singla D; Rashid M; Raghava GP
BMC Bioinformatics; 2014 Aug; 15(1):282. PubMed ID: 25141912
[TBL] [Abstract][Full Text] [Related]
11. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
Garg A; Raghava GP
In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
[TBL] [Abstract][Full Text] [Related]
12. Identification of B-cell epitopes in an antigen for inducing specific class of antibodies.
Gupta S; Ansari HR; Gautam A; ; Raghava GP
Biol Direct; 2013 Oct; 8():27. PubMed ID: 24168386
[TBL] [Abstract][Full Text] [Related]
13. AntiBP2: improved version of antibacterial peptide prediction.
Lata S; Mishra NK; Raghava GP
BMC Bioinformatics; 2010 Jan; 11 Suppl 1(Suppl 1):S19. PubMed ID: 20122190
[TBL] [Abstract][Full Text] [Related]
14. Computational approach for designing tumor homing peptides.
Sharma A; Kapoor P; Gautam A; Chaudhary K; Kumar R; Chauhan JS; Tyagi A; Raghava GP
Sci Rep; 2013; 3():1607. PubMed ID: 23558316
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential.
Nagpal G; Usmani SS; Dhanda SK; Kaur H; Singh S; Sharma M; Raghava GP
Sci Rep; 2017 Feb; 7():42851. PubMed ID: 28211521
[TBL] [Abstract][Full Text] [Related]
16. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.
Raghava GP; Han JH
BMC Bioinformatics; 2005 Mar; 6():59. PubMed ID: 15773999
[TBL] [Abstract][Full Text] [Related]
17. Prediction of anti-inflammatory proteins/peptides: an insilico approach.
Gupta S; Sharma AK; Shastri V; Madhu MK; Sharma VK
J Transl Med; 2017 Jan; 15(1):7. PubMed ID: 28057002
[TBL] [Abstract][Full Text] [Related]
18. A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method.
Naorem LD; Sharma N; Raghava GPS
Comput Biol Med; 2023 May; 158():106864. PubMed ID: 37058758
[TBL] [Abstract][Full Text] [Related]
19. AVPpred: collection and prediction of highly effective antiviral peptides.
Thakur N; Qureshi A; Kumar M
Nucleic Acids Res; 2012 Jul; 40(Web Server issue):W199-204. PubMed ID: 22638580
[TBL] [Abstract][Full Text] [Related]
20. Analysis and prediction of antibacterial peptides.
Lata S; Sharma BK; Raghava GP
BMC Bioinformatics; 2007 Jul; 8():263. PubMed ID: 17645800
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
