Gajendra P. Raghava
Molecular Biology · 2001–2015
A researcher in the Science corpus: 11 papers; trusts 24 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 43 citations into it; #1,035 of 17,773 by trust here, #5,764 by citations
- Computational Biology & Bioinformatics — 15 citations into it
- Microbiology — 10 citations into it; #48 of 213 by trust here, #112 by citations
- Immunology — 6 citations into it; #143 of 2,160 by trust here, #1,380 by citations
- Spectroscopy — 5 citations into it
Whom Gajendra P. Raghava trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Harpreet Singh
- Sudipto Saha
- Stephen F. Altschul
- Amos Bairoch
- Sujun Hua
- David E. Rumelhart
- Pierre Baldi
- Søren Brunak
- Olof Emanuelsson
- Pedro A. Reche
Who trusts Gajendra P. Raghava overall
- Manoj Bhasin
- Sudipto Saha
- Kuo-Chen Chou
- Ivan Dimitrov
- Ruth E. Soria-Guerra
- J. L. Sánchez-Trincado
- Irini A. Doytchinova
- Atanas Patronov
- Harpreet Singh
- Oksana Yakhnenko
Papers from Gajendra P. Raghava's perspective
Ordered by how strongly the researchers Gajendra P. Raghava trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The SWISS-PROT protein sequence data bank and its supplement TrEMBL
- The Nature of Statistical Learning Theory
- Identification of common molecular subsequences.
- Basic local alignment search tool.
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- Assessing the accuracy of prediction algorithms for classification: an overview (Bioinform.)
- Extensive feature detection of N-terminal protein sorting signals (Bioinform.)
- Feature-based prediction of non-classical and leaderless protein secretion. (Protein engineering, design & selection : PEDS)
- Exploiting the past and the future in protein secondary structure prediction
Their papers
- Analysis and prediction of antibacterial peptides (2007) — 515 citations
- Prediction of continuous B‐cell epitopes in an antigen using recurrent neural network (2006) — 1,598 citations
- ProPred: prediction of HLA-DR binding sites (2001) — 880 citations
- ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST (2004) — 314 citations
- Classification of Nuclear Receptors Based on Amino Acid Composition and Dipeptide Composition* (2004) — 549 citations
- ProPred1: Prediction of Promiscuous MHC Class-I Binding Sites (2003) — 445 citations
- Prediction of CTL epitopes using QM, SVM and ANN techniques. (2004) — 379 citations
- BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties (2004) — 459 citations
- AlgPred: prediction of allergenic proteins and mapping of IgE epitopes (2006) — 711 citations
- CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides (2015) — 301 citations
- CancerPPD: a database of anticancer peptides and proteins (2014) — 331 citations