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Query: UNIPROT:P23193 (transcription elongation factor)
 739 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The FF domain is a 60 amino acid residue phosphopeptide-binding module found in a variety of eukaryotic proteins including the transcription elongation factor CA150, the splicing factor Prp40 and p190RHOGAP. We have determined the structure of an FF domain from HYPA/FBP11. The domain is composed of three alpha helices arranged in an orthogonal bundle with a 3(10) helix in the loop between the second and third alpha helices. The structure differs from those of other phosphopeptide-binding domains and represents a novel phosphopeptide-binding fold.
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PMID:The structure of an FF domain from human HYPA/FBP11. 1238 Dec 97

The human transcription elongation factor CA150 contains three N-terminal WW domains and six consecutive FF domains. WW and FF domains, versatile modules that mediate protein-protein interactions, are found in nuclear proteins involved in transcription and splicing. CA150 interacts with the splicing factor SF1 and with the phosphorylated C-terminal repeat domain (CTD) of RNA polymerase II (RNAPII) through its WW and FF domains, respectively. WW and FF domains may, therefore, serve to link transcription and splicing components and play a role in coupling transcription and splicing in vivo. In the study presented here, we investigated the subcellular localization and association of CA150 with factors involved in pre-mRNA transcriptional elongation and splicing. Endogenous CA150 colocalized with nuclear speckles, and this was not affected either by inhibition of cellular transcription or by RNAPII CTD phosphorylation. FF domains are essential for the colocalization to speckles, while WW domains are not required for colocalization. We also performed biochemical assays to understand the role of WW and FF domains in mediating the assembly of transcription and splicing components into higher-order complexes. Transcription and splicing components bound to a region in the amino-terminal part of CA150 that contains the three WW domains; however, we identified a region of the C-terminal FF domains that was also critical. Our results suggest that sequences located at both the amino and carboxyl regions of CA150 are required to assemble transcription/splicing complexes, which may be involved in the coupling of those processes.
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PMID:Human transcription elongation factor CA150 localizes to splicing factor-rich nuclear speckles and assembles transcription and splicing components into complexes through its amino and carboxyl regions. 1678 86

FF domains are small protein-protein interaction modules that have two flanking conserved phenylalanine residues. They are present in proteins involved in transcription, RNA splicing, and signal transduction, and often exist in tandem arrays. Although several individual FF domain structures have been determined by NMR, the tandem nature of most FF domains has not been revealed. Here we report the 2.7-A-resolution crystal structure of the first three FF domains of the human transcription elongation factor CA150. Each FF domain is composed of three alpha-helices and a 3(10) helix between alpha-helix 2 and alpha-helix 3. The most striking feature of the structure is that an FF domain is connected to the next by an alpha-helix that continues from helix 3 to helix 1 of the next. The consequent elongated arrangement allows exposure of many charged residues within the region that can be engaged in interaction with other molecules. Binding studies using a peptide ligand suggest that a specific conformation of the FF domains might be required to achieve higher-affinity binding. Additionally, we explore potential DNA binding of the FF construct used in this study. Overall, we provide the first crystal structure of an FF domain and insights into the tandem nature of the FF domains and suggest that, in addition to protein binding, FF domains might be involved in DNA binding.
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PMID:Crystal structure of the three tandem FF domains of the transcription elongation regulator CA150. 1966 Apr 70

We present a novel structure determination approach that exploits the global orientational restraints from RDCs to resolve ambiguous NOE assignments. Unlike traditional approaches that bootstrap the initial fold from ambiguous NOE assignments, we start by using RDCs to compute accurate secondary structure element (SSE) backbones at the beginning of structure calculation. Our structure determination package, called RDC-PANDA: (RDC-based SSE PAcking with NOEs for Structure Determination and NOE Assignment), consists of three modules: (1) RDC-EXACT: ; (2) PACKER: ; and (3) HANA: (HAusdorff-based NOE Assignment). RDC-EXACT: computes the global optimal solution of backbone dihedral angles for each secondary structure element by exactly solving a system of quartic RDC equations derived by Wang and Donald (Proceedings of the IEEE computational systems bioinformatics conference (CSB), Stanford, CA, 2004a; J Biomol NMR 29(3):223-242, 2004b), and systematically searching over the roots, each of which is a backbone dihedral varphi- or psi-angle consistent with the RDC data. Using a small number of unambiguous inter-SSE NOEs extracted using only chemical shift information, PACKER: performs a systematic search for the core structure, including all SSE backbone conformations. HANA: uses a Hausdorff-based scoring function to measure the similarity between the experimental spectra and the back-computed NOE pattern for each side-chain from a statistically-diverse rotamer library, and drives the selection of optimal position-specific rotamers for filtering ambiguous NOE assignments. Finally, a local minimization approach is used to compute the loops and refine side-chain conformations by fixing the core structure as a rigid body while allowing movement of loops and side-chains. RDC-PANDA: was applied to NMR data for the FF Domain 2 of human transcription elongation factor CA150 (RNA polymerase II C-terminal domain interacting protein), human ubiquitin, the ubiquitin-binding zinc finger domain of the human Y-family DNA polymerase Eta (pol eta UBZ), and the human Set2-Rpb1 interacting domain (hSRI). These results demonstrated the efficiency and accuracy of our algorithm, and show that RDC-PANDA: can be successfully applied for high-resolution protein structure determination using only a limited set of NMR data by first computing RDC-defined backbones.
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PMID:High-resolution protein structure determination starting with a global fold calculated from exact solutions to the RDC equations. 1971 Nov 85

A major bottleneck in protein structure determination via nuclear magnetic resonance (NMR) is the lengthy and laborious process of assigning resonances and nuclear Overhauser effect (NOE) cross peaks. Recent studies have shown that accurate backbone folds can be determined using sparse NMR data, such as residual dipolar couplings (RDCs) or backbone chemical shifts. This opens a question of whether we can also determine the accurate protein side-chain conformations using sparse or unassigned NMR data. We attack this question by using unassigned nuclear Overhauser effect spectroscopy (NOESY) data, which records the through-space dipolar interactions between protons nearby in three-dimensional (3D) space. We propose a Bayesian approach with a Markov random field (MRF) model to integrate the likelihood function derived from observed experimental data, with prior information (i.e., empirical molecular mechanics energies) about the protein structures. We unify the side-chain structure prediction problem with the side-chain structure determination problem using unassigned NMR data, and apply the deterministic dead-end elimination (DEE) and A* search algorithms to provably find the global optimum solution that maximizes the posterior probability. We employ a Hausdorff-based measure to derive the likelihood of a rotamer or a pairwise rotamer interaction from unassigned NOESY data. In addition, we apply a systematic and rigorous approach to estimate the experimental noise in NMR data, which also determines the weighting factor of the data term in the scoring function derived from the Bayesian framework. We tested our approach on real NMR data of three proteins: the FF Domain 2 of human transcription elongation factor CA150 (FF2), the B1 domain of Protein G (GB1), and human ubiquitin. The promising results indicate that our algorithm can be applied in high-resolution protein structure determination. Since our approach does not require any NOE assignment, it can accelerate the NMR structure determination process.
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PMID:A Bayesian approach for determining protein side-chain rotamer conformations using unassigned NOE data. 2197 Jun 19