Maria T. Buenavista

Molecular Biology · 2011–2013

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 60 citations into it; #1,609 of 17,773 by trust here, #6,960 by citations
• Materials Chemistry — 34 citations into it; #1,595 of 11,513 by trust here, #7,794 by citations
• Computational Biology & Bioinformatics — 21 citations into it
• Computational Theory and Mathematics — 8 citations into it; #10,987 of 12,182 by trust here, #9,306 by citations

Whom Maria T. Buenavista trusts overall

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

1. Liam J. McGuffin
2. Yang Zhang
3. Daniel B. Roche
4. Hongyi Zhou
5. Björn Wallner
6. Arne Elofsson
7. Jeffrey Skolnick
8. Sitao Wu
9. Jinrui Xu
10. Andriy Kryshtafovych

Who trusts Maria T. Buenavista overall

1. Liam J. McGuffin
2. Ahmad N. Shuid
3. Daniel B. Roche
4. Ali Hassan Ahmed Maghrabi
5. G. Bunkoczi
6. Jennifer D. Atkins
7. Robert Kempster
8. Björn Wallner
9. Recep Adiyaman
10. Arne Elofsson

Papers from Maria T. Buenavista's perspective

Ordered by how strongly the researchers Maria T. Buenavista trusts endorse each paper. Same corpus, a different order for every researcher.

1. Basic local alignment search tool.
2. TM-align: a protein structure alignment algorithm based on the TM-score
3. MaxSub: an automated measure for the assessment of protein structure prediction quality
4. Can correct protein models be identified?
5. Scoring function for automated assessment of protein structure template quality
6. Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
7. Hidden Markov models for detecting remote protein homologies
8. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
9. Comparative protein modelling by satisfaction of spatial restraints.
10. SCOP: a structural classification of proteins database for the investigation of sequences and structures.

Their papers

• The ModFOLD4 server for the quality assessment of 3D protein models (2013) — 120 citations
• Improvement of 3D protein models using multiple templates guided by single-template model quality assessment (2012) — 48 citations
• The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction (2011) — 107 citations
• The FunFOLD2 server for the prediction of protein–ligand interactions (2013) — 50 citations