H
Harinder Singh
Researcher at J. Craig Venter Institute
Publications - 49
Citations - 2139
Harinder Singh is an academic researcher from J. Craig Venter Institute. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 19, co-authored 40 publications receiving 1534 citations. Previous affiliations of Harinder Singh include Council of Scientific and Industrial Research.
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Improved Method for Linear B-Cell Epitope Prediction Using Antigen’s Primary Sequence
TL;DR: An attempt has been made to develop an improved method for predicting linear B-cell epitopes using diverse s features like binary profile, dipeptide composition, AAP (amino acid pair) profile.
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NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database
TL;DR: A central resource Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database that gathers the information related to experimentally validated plant-derived natural compounds exhibiting anti-cancerous activity (in vitro and in vivo), to complement the other databases.
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S-Trap, an Ultrafast Sample-Preparation Approach for Shotgun Proteomics.
Milkessa HaileMariam,Rodrigo Vargas Eguez,Harinder Singh,Shiferaw Bekele,Gobena Ameni,Rembert Pieper,Yanbao Yu +6 more
TL;DR: The performance of the individual S-Trap filter and 96-well filter plate is evaluated in the context of global protein identification and quantitation using whole-cell lysate and clinically relevant sputum samples to suggest an ultrafast sample-preparation approach for shotgun proteomics.
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CPPsite: a curated database of cell penetrating peptides
Ankur Gautam,Harinder Singh,Atul Tyagi,Kumardeep Chaudhary,Rajesh Kumar,Pallavi Kapoor,Gajendra P. S. Raghava +6 more
TL;DR: This database will be very useful for developing models for predicting effective cell penetrating peptides, and derived various types of information from these peptide sequences that include secondary/tertiary structure, amino acid composition and physicochemical properties of peptides.
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PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues
Sandeep Singh,Harinder Singh,Abhishek Tuknait,Kumardeep Chaudhary,Balvinder Singh,S. Senthil Kumaran,Gajendra P. S. Raghava +6 more
TL;DR: The PEPstrMOD application offers unique advantages that allow the users to predict the structures of peptides having natural residues, non-naturally modified residues, terminal modifications, iv) post-translational modifications, v) D-amino acids and also allows extended simulation of predicted peptides.