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Marvin Edelman

Publications and source records attributed to Marvin Edelman.

10 recordsLinked to original sources

The limit of accuracy of protein modeling: influence of crystal packing on protein structure.

The size of the protein database (PDB) makes it now feasible to arrive at statistical conclusions regarding structural effects of crystal packing. These effects are relevant for setting upper practical limits of accuracy on protein modeling. Proteins whose crystals have more than one molecule in the asymmetric unit or whose structures were determined at least twice by X-ray crystallography were paired and their differences analyzed. We demonstrate a clear influence of crystal environment on protein structure, including backbone conformations, hinge-like motions and side-chain conformations. The positions of surface water molecules tend to be variable in different crystal environments while those of ligands are not. Structures determined by independent groups vary more than structures determined by the same authors. The use of different refinement methods is a major source for this effect. Our pair-wise analysis derives a practical limit to the accuracy of protein modeling. For different crystal forms, the limit of accuracy (C(alpha), root-mean-square deviation (RMSD)) is approximately 0.8A for the entire protein, which includes approximately 0.3A due to crystal packing. For organized secondary elements, the upper limit of C(alpha) RMSD is 0.5-0.6A while for loops or protein surface it reaches 1.0A. Twenty percent of exposed side- chains exhibit different chi(1+2) conformations with approximately half of the effect also resulting from crystal packing. A web based tool for analysis and graphic presentation of surface areas of crystal contacts is available (http://ligin.weizmann.ac.il/cryco).

Computational Biology↗

SPACE: a suite of tools for protein structure prediction and analysis based on complementarity and environment.

We describe a suite of SPACE tools for analysis and prediction of structures of biomolecules and their complexes. LPC/CSU software provides a common definition of inter-atomic contacts and complementarity of contacting surfaces to analyze protein structure and complexes. In the current version of LPC/CSU, analyses of water molecules and nucleic acids have been added, together with improved and expanded visualization options using Chime or Java based Jmol. The SPACE suite includes servers and programs for: structural analysis of point mutations (MutaProt); side chain modeling based on surface complementarity (SCCOMP); building a crystal environment and analysis of crystal contacts (CryCo); construction and analysis of protein contact maps (CMA) and molecular docking software (LIGIN). The SPACE suite is accessed at http://ligin.weizmann.ac.il/space.

Amino Acids↗

Flexibility of metal binding sites in proteins on a database scale.

Protein metal binding sites in the pre-bound (apo) state, and their rearrangements upon metal binding were not analyzed previously at a database scale. Such a study may provide valuable information for metal binding site prediction and design. A high resolution, nonredundant dataset of 210 metal binding sites was created, containing all available representatives of apo-holo pairs for the most populated metals in the PDB. More than 40% of the sites underwent rearrangements upon metal binding. In 30 cases rearrangements involved the backbone. The tendency for side-chain rearrangement inversely correlates with the number of first-shell residues. Analysis of side-chain reorientations as a result of metal binding showed that in 95% of the rigid-backbone binding sites at most one side chain moved. Thus, in general, part of the first coordination shell is already in place in the pre-bound form. The frequencies of side-chain reorientation directly correlated with metal ligand flexibility and solvent accessibility in the apo state.

Apoproteins↗

Protein--protein recognition: juxtaposition of domain and interface cores in immunoglobulins and other sandwich-like proteins.

Structural analysis of a non-redundant data set of 47 immunoglobulin (Ig) proteins was carried out using a combination of criteria: atom--atom contact compatibility, position occupancy rate, conservation of residue type and positional conservation in 3D space. Our analysis shows that roughly half of the interface positions between the light and heavy chains are specific to individual structures while the other half are conserved across the database. The tendency for conservation of a primary subset of positions holds true for the intra-domain faces as well. These subsets, with an average of 12 conserved positions and a contact surface of 630 A(2), delineate the inter- and intra-domain core, a refined instrument with a reduced target for analysis of sheet--sheet interactions in sandwich-like proteins. Employing this instrument, we find that a majority of Ig interface core positions are adjoined in sequence to domain core positions. This was derived independent of geometric considerations, however beta-sheet side-chain geometry clearly dictates it. The geometric wedding of the domain and interface cores supports the concept of a rigid-like substructure on the protein surface involved in complex formation and indicates a close relationship between surface determinants and those involved in protein folding of Ig domains. The definitions developed for the Ig interface and domain cores proved satisfactory to extract first-approximation cores for a group of 24 non-Ig sandwich-like proteins, treated as individual structures due to their diverse strand topologies. We show that the same rule of positional connectivity between the rigid domain core and interface core extends generally to sandwich-like proteins interacting in a sheet--sheet fashion. The non-Ig structures were used as templates to analyze sandwich-like interfaces of unresolved homologous proteins using a database merging structure and sequence conservation.

Amino Acid Sequence↗

Importance of solvent accessibility and contact surfaces in modeling side-chain conformations in proteins.

Contact surface area and chemical properties of atoms are used to concurrently predict conformations of multiple amino acid side chains on a fixed protein backbone. The combination of surface complementarity and solvent-accessible surface accounts for van der Waals forces and solvation free energy. The scoring function is particularly suitable for modeling partially buried side chains. Both iterative and stochastic searching approaches are used. Our programs (Sccomp-I and Sccomp-S), with relatively fast execution times, correctly predict chi1 angles for 92-93% of buried residues and 82-84% for all residues, with an RMSD of approximately 1.7 A for side chain heavy atoms. We find that the differential between the atomic solvation parameters and the contact surface parameters (including those between noncomplementary atoms) is positive; i.e., most protein atoms prefer surface contact with other protein atoms rather than with the solvent. This might correspond to the driving force for maximizing packing of the protein. The influence of the crystal packing, completeness of rotamer library and precise positioning of Cbeta atoms on the accuracy of side-chain prediction are examined. The Sccomp-S and Sccomp-I programs can be accessed through the Web (http://sgedg.weizmann.ac.il/sccomp.html) and are available for several platforms.

Algorithms↗

A consensus-binding structure for adenine at the atomic level permits searching for the ligand site in a wide spectrum of adenine-containing complexes.

Attempts to derive structural features of ligand-binding sites have traditionally involved seeking commonalities at the residue level. Recently, structural studies have turned to atomic interactions of small molecular fragments to extract common binding-site properties. Here, we explore the use of larger ligand elements to derive a consensus binding structure for the ligand as a whole. We superimposed multiple molecular structures from a nonredundant set of adenosine-5'-triphosphate (ATP) protein complexes, using the adenine moiety as template. Clustered binding-site atoms of compatible atomic classes forming attractive contacts with the adenine probe were extracted. A set of atomic clusters characterizing the adenine binding pocket was then derived. Among the clusters are three vertices representing the interactions of adenine atom N6 with its protein-binding niche. These vertices, together with atom C6 of the purine ring system, complete the set of four vertices for the pyramid-like structure of the N6 anchor atom. Also, the sequence relationship for the adenine-binding loop interacting with the C2-N6 end of the conjugated ring system is expanded to include a third hydrophilic cluster interacting with atom N1. A search procedure involving interatomic distances between cluster centers was formulated and applied to seek putative binding sites in test cases. The results show that a consensus network of clusters, based on an adenine probe and an ATP-complexed training set of proteins, is sufficient to recognize the experimental cavity for adenine in a wide spectrum of ligand-protein complexes.

Adenine↗

Discrimination of native protein structures using atom-atom contact scoring.

We introduce a method for discriminating correctly folded proteins from well designed decoy structures using atom-atom and atom-solvent contact surfaces. The measure used to quantify contact surfaces integrates the solvent accessible surface and interatomic contacts into one quantity, allowing solvent to be treated as an atom contact. A scoring function was derived from statistical contact preferences within known protein structures and validated by using established protein decoy sets, including the "Rosetta" decoys and data from the CASP4 structure predictions. The scoring function effectively distinguished native structures from all corresponding decoys in >90% of the cases, using isolated protein subunits as target structures. If contacts between subunits within quaternary structures are included, the accuracy increases to 97%. Interactions beyond atom-atom contact range were not required to distinguish native structures from the decoys using this method. The contact scoring performed as well or better than existing statistical and physicochemical potentials and may be applied as an independent means of evaluating putative structural models.

Cations↗

Protein side-chain rearrangement in regions of point mutations.

A major problem in predicting amino acid side-chain rearrangements following point mutations is the potentially large search space. We analyzed a nonredundant data set of 393 Protein Data Bank protein pairs, each consisting of structures differing in one amino acid, to determine the number of residues changing conformation in the region of mutation. In 91-95% of cases, two or fewer residues underwent side-chain conformational change. If mutation sites with backbone displacements were excluded, the number increased to 97%. The majority of rearrangements (over 60%) were due to the inherent flexibility of side-chains, as derived from analysis of a control set of protein subunits whose crystal structures were determined more than once. Different amino acids demonstrated different degrees of flexibility near mutation sites. Large polar or charged residues, and serine, are more flexible, while the aromatic amino acids, and cysteine, are less so. This pattern is common to the inherent side-chain flexibility, as well as the increased flexibility at ligand binding sites and mutation sites. The probability for conformational change was correlated with B-factor, frequency of the side-chain conformation in proteins and solvent accessibility. The last trend was stronger for aromatic and hydrophilic residues than for hydrophobic ones. We conclude that the search space for predicting side-chain conformations in the region of mutation can be effectively restricted. However, the overall ability to predict a particular side-chain conformation, or to check predictions according to individual existing structures, is limited. These findings may be useful in deriving empirical rules for modeling side-chain conformations.

Binding Sites↗

Conserved positions for ribose recognition: importance of water bridging interactions among ATP, ADP and FAD-protein complexes.

Analysis of the spatial arrangement of protein and water atoms that form polar interactions with ribose has been performed for a structurally non-redundant dataset of ATP, ADP and FAD-protein complexes. The 26 ligand-protein structures were separated into two groups corresponding to the most populated furanose ring conformations (N and S-domains). Four conserved positions were found for S-domain protein-ligand complexes and five for N-domain complexes. Multiple protein folds and secondary structural elements were represented at a single conserved position. The following novel points were revealed: (i) Two complementary positions sometimes combine to describe a putative atomic spatial location for a specific conserved binding spot. (ii) More than one third of the interactions scored were water-mediated. Thus, conserved spatial positions rich in water atoms are a significant feature of ribose-protein complexes.

Adenosine Diphosphate↗

Phosphorylation of the D1 photosystem II reaction center protein is controlled by an endogenous circadian rhythm.

The light dependence of D1 phosphorylation is unique to higher plants, being constitutive in cyanobacteria and algae. In a photoautotrophic higher plant, Spirodela oligorrhiza, grown in greenhouse conditions under natural diurnal cycles of solar irradiation, the ratio of phosphorylated versus total D1 protein (D1-P index: [D1-P]/[D1] + [D1-P]) of photosystem II is shown to undergo reproducible diurnal oscillation. These oscillations were clearly out of phase with the period of maximum in light intensity. The timing of the D1-P index maximum was not affected by changes in temperature, the amount of D1 kinase activity present in the thylakoid membranes, the rate of D1 protein synthesis, or photoinhibition. However, when the dark period in a normal diurnal cycle was cut short artificially by transferring plants to continuous light conditions, the D1-P index timing shifted and reached a maximum within 4 to 5 h of light illumination. The resultant diurnal oscillation persisted for at least two cycles in continuous light, suggesting that the rhythm is endogenous (circadian) and is entrained by an external signal.

Circadian Rhythm↗