Literature DB >> 8710824

A critical assessment of comparative molecular modeling of tertiary structures of proteins.

S Mosimann1, R Meleshko, M N James.   

Abstract

In spite of the tremendous increase in the rate at which protein structures are being determined, there is still an enormous gap between the numbers of known DNA-derived sequences and the numbers of three-dimensional structures. In order to shed light on the biological functions of the molecules, researchers often resort to comparative molecular modeling. Earlier work has shown that when the sequence alignment is in error, then the comparative model is guaranteed to be wrong. In addition, loops, the sites of insertions and deletions in families of homologous proteins, are exceedingly difficult to model. Thus, many of the current problems in comparative molecular modeling are minor versions of the global protein folding problem. In order to assess objectively the current state of comparative molecular modeling, 13 groups submitted blind predictions of seven different proteins of undisclosed tertiary structure. This assessment shows that where sequence identity between the target and the template structure is high (> 70%), comparative molecular modeling is highly successful. On the other hand, automated modeling techniques and sophisticated energy minimization methods fail to improve upon the starting structures when the sequence identity is low (approximately 30%). Based on these results it appears that insertions and deletions are still major problems. Successfully deducing the correct sequence alignment when the local similarity is low is still difficult. We suggest some minimal testing of submitted coordinates that should be required of authors before papers on comparative molecular modeling are accepted for publication in journals.

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Year:  1995        PMID: 8710824     DOI: 10.1002/prot.340230305

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  25 in total

1.  Free energy determinants of tertiary structure and the evaluation of protein models.

Authors:  D Petrey; B Honig
Journal:  Protein Sci       Date:  2000-11       Impact factor: 6.725

2.  Modeling the interactions of a peptide-major histocompatibility class I ligand with its receptors. I. Recognition by two alpha beta T cell receptors.

Authors:  D Rognan; A Stryhn; L Fugger; S Lyngbaek; J Engberg; P S Andersen; S Buus
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

3.  Refinement of modelled structures by knowledge-based energy profiles and secondary structure prediction: application to the human procarboxypeptidase A2.

Authors:  P Aloy; J M Mas; M A Martí-Renom; E Querol; F X Avilés; B Oliva
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

4.  Analysis of interactive packing of secondary structural elements in alpha/beta units in proteins.

Authors:  B V Reddy; H A Nagarajaram; T L Blundell
Journal:  Protein Sci       Date:  1999-03       Impact factor: 6.725

5.  Selecting near-native conformations in homology modeling: the role of molecular mechanics and solvation terms.

Authors:  A Janardhan; S Vajda
Journal:  Protein Sci       Date:  1998-08       Impact factor: 6.725

6.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

7.  The search for a new model structure of beta-factor XIIa.

Authors:  E S Henriques; W B Floriano; N Reuter; A Melo; D Brown; J A Gomes; B Maigret; M A Nascimento; M J Ramos
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

8.  Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

9.  Improvement of comparative modeling by the application of conserved motifs amongst distantly related proteins as additional restraints.

Authors:  Saikat Chakrabarti; Jaisurya John; Ramanathan Sowdhamini
Journal:  J Mol Model       Date:  2003-12-23       Impact factor: 1.810

10.  The protein structure prediction problem could be solved using the current PDB library.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-14       Impact factor: 11.205

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