M. Michael Gromiha

Molecular Biology · 2003–2020

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 18 citations into it; #1,574 of 17,773 by trust here, #6,095 by citations
• Computational Biology & Bioinformatics — 9 citations into it
• Materials Chemistry — 8 citations into it; #980 of 11,513 by trust here, #5,499 by citations
• Spectroscopy — 6 citations into it

Whom M. Michael Gromiha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. W. Kabsch
2. Manfred J. Sippl
3. Christopher Sander
4. Burkhard Rost
5. James A. Cuff
6. Liisa Holm
7. Guoli Wang
8. Weizhong Li
9. Jianlin Cheng
10. Helen M. Berman

Who trusts M. Michael Gromiha overall

1. Emidio Capriotti
2. Jesse D. Bloom
3. Yves Dehouck
4. Abhishek Niroula
5. Douglas E. V. Pires
6. Aleksey A. Porollo
7. Mathieu Lonquety
8. David B. Ascher
9. Nobuhiko Tokuriki
10. Liangjiang Wang

Papers from M. Michael Gromiha's perspective

Ordered by how strongly the researchers M. Michael Gromiha trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Protein Data Bank.
2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
3. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
4. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
5. Removing near-neighbour redundancy from large protein sequence collections
6. Conservation and prediction of solvent accessibility in protein families
7. The Protein Information Resource (Nucleic Acids Res.)
8. Clustering of highly homologous sequences to reduce the size of large protein databases
9. Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
10. Application of multiple sequence alignment profiles to improve protein secondary structure prediction (Proteins: Structure, Function, and Bioinformatics)

Their papers

• ProTherm and ProNIT: thermodynamic databases for proteins and protein–nucleic acid interactions (2005) — 413 citations
• ProTherm, version 4.0: thermodynamic database for proteins and mutants (2004) — 387 citations
• CUPSAT: prediction of protein stability upon point mutations (2006) — 665 citations
• Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information (2004) — 341 citations
• Real value prediction of solvent accessibility from amino acid sequence (2003) — 202 citations
• Computational studies of drug repurposing and synergism of lopinavir, oseltamivir and ritonavir binding with SARS-CoV-2 protease against COVID-19 (2020) — 374 citations