Cargando…

SATPdb: a database of structurally annotated therapeutic peptides

SATPdb (http://crdd.osdd.net/raghava/satpdb/) is a database of structurally annotated therapeutic peptides, curated from 22 public domain peptide databases/datasets including 9 of our own. The current version holds 19192 unique experimentally validated therapeutic peptide sequences having length bet...

Descripción completa

Detalles Bibliográficos
Autores principales:	Singh, Sandeep, Chaudhary, Kumardeep, Dhanda, Sandeep Kumar, Bhalla, Sherry, Usmani, Salman Sadullah, Gautam, Ankur, Tuknait, Abhishek, Agrawal, Piyush, Mathur, Deepika, Raghava, Gajendra P.S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2016
Materias:	Database Issue
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702810/ https://www.ncbi.nlm.nih.gov/pubmed/26527728 http://dx.doi.org/10.1093/nar/gkv1114

Ejemplares similares

CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides
por: Agrawal, Piyush, et al.
Publicado: (2016)

ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures
por: Mehta, Divya, et al.
Publicado: (2014)

CancerPPD: a database of anticancer peptides and proteins
por: Tyagi, Atul, et al.
Publicado: (2014)

HumCFS: a database of fragile sites in human chromosomes
por: Kumar, Rajesh, et al.
Publicado: (2019)

A Web Server and Mobile App for Computing Hemolytic Potency of Peptides
por: Chaudhary, Kumardeep, et al.
Publicado: (2016)

Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides
por: Gautam, Ankur, et al.
Publicado: (2014)

AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides
por: Kumar, Ravi, et al.
Publicado: (2014)

ImmunoSPdb: an archive of immunosuppressive peptides
por: Usmani, Salman Sadullah, et al.
Publicado: (2019)

AntiTbPdb: a knowledgebase of anti-tubercular peptides
por: Usmani, Salman Sadullah, et al.
Publicado: (2018)

PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues
por: Singh, Sandeep, et al.
Publicado: (2015)

Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features
por: Usmani, Salman Sadullah, et al.
Publicado: (2018)

PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands
por: Kaur, Dilraj, et al.
Publicado: (2019)

Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues
por: Kumar, Vinod, et al.
Publicado: (2018)

CancerLivER: a database of liver cancer gene expression resources and biomarkers
por: Kaur, Harpreet, et al.
Publicado: (2020)

In Silico Approach for Prediction of Antifungal Peptides
por: Agrawal, Piyush, et al.
Publicado: (2018)

Prediction of Immunomodulatory potential of an RNA sequence for designing non-toxic siRNAs and RNA-based vaccine adjuvants
por: Chaudhary, Kumardeep, et al.
Publicado: (2016)

Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential
por: Nagpal, Gandharva, et al.
Publicado: (2017)

ProCarDB: a database of bacterial carotenoids
por: Nupur, L. N. U., et al.
Publicado: (2016)

Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine
por: Gupta, Sudheer, et al.
Publicado: (2016)

CPPsite: a curated database of cell penetrating peptides
por: Gautam, Ankur, et al.
Publicado: (2012)

Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines
por: Singh, Harinder, et al.
Publicado: (2016)

A web-based resource for designing therapeutics against Ebola Virus
por: Dhanda, Sandeep Kumar, et al.
Publicado: (2016)

VaccineDA: Prediction, design and genome-wide screening of oligodeoxynucleotide-based vaccine adjuvants
por: Nagpal, Gandharva, et al.
Publicado: (2015)

Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants
por: Nagpal, Gandharva, et al.
Publicado: (2018)

Bcipep: A database of B-cell epitopes
por: Saha, Sudipto, et al.
Publicado: (2005)

In silico approaches for predicting the half-life of natural and modified peptides in blood
por: Mathur, Deepika, et al.
Publicado: (2018)

Potential Challenges for Coronavirus (SARS-CoV-2) Vaccines Under Trial
por: Usmani, Salman Sadullah, et al.
Publicado: (2020)

CancerPDF: A repository of cancer-associated peptidome found in human biofluids
por: Bhalla, Sherry, et al.
Publicado: (2017)

THPdb: Database of FDA-approved peptide and protein therapeutics
por: Usmani, Salman Sadullah, et al.
Publicado: (2017)

Hmrbase: a database of hormones and their receptors
por: Rashid, Mamoon, et al.
Publicado: (2009)

BIAdb: A curated database of benzylisoquinoline alkaloids
por: Singla, Deepak, et al.
Publicado: (2010)

Designing of interferon-gamma inducing MHC class-II binders
por: Dhanda, Sandeep Kumar, et al.
Publicado: (2013)

Designing of promiscuous inhibitors against pancreatic cancer cell lines
por: Kumar, Rahul, et al.
Publicado: (2014)

A Web Resource for Designing Subunit Vaccine Against Major Pathogenic Species of Bacteria
por: Nagpal, Gandharva, et al.
Publicado: (2018)

A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer
por: Gupta, Sudheer, et al.
Publicado: (2016)

TumorHoPe: A Database of Tumor Homing Peptides
por: Kapoor, Pallavi, et al.
Publicado: (2012)

In Silico Approach for Predicting Toxicity of Peptides and Proteins
por: Gupta, Sudheer, et al.
Publicado: (2013)

ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank
por: Agrawal, Piyush, et al.
Publicado: (2019)

Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer
por: Bhalla, Sherry, et al.
Publicado: (2017)

PRRDB: A comprehensive database of Pattern-Recognition Receptors and their ligands
por: Lata, Sneh, et al.
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_qk0a913mpi30c7v3ukkdrkcgjo