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PubMed2007

iGibbs: improving Gibbs motif sampler for proteins by sequence clustering and iterative pattern sampling.

The motif prediction problem is to predict short, conserved subsequences that are part of a family of sequences, and it is a very important biological problem. Gibbs is one of the first successful motif algorithms and it runs very fast compared with other algorithms, and its search behavior is based on the well-studied Gibbs random sampling. However, motif prediction is a very difficult problem and Gibbs may not predict true motifs in some cases. Thus, the authors explored a possibility of improving the prediction accuracy of Gibbs while retaining its fast runtime performance. In this paper, the authors considered Gibbs only for proteins, not for DNA binding sites. The authors have developed iGibbs, an integrated motif search framework for proteins that employs two previous techniques of their own: one for guiding motif search by clustering sequences and another by pattern refinement. These two techniques are combined to a new double clustering approach to guiding motif search. The unique feature of their framework is that users do not have to specify the number of motifs to be predicted when motifs occur in different subsets of the input sequences since it automatically clusters input sequences into clusters and predict motifs from the clusters. Tests on the PROSITE database show that their framework improved the prediction accuracy of Gibbs significantly. Compared with more exhaustive search methods like MEME, iGibbs predicted motifs more accurately and runs one order of magnitude faster.

Algorithms↗
PubMed1999

A natural grouping of motifs with an aspartate or asparagine residue forming two hydrogen bonds to residues ahead in sequence: their occurrence at alpha-helical N termini and in other situations.

Examination of the ways side-chain carboxylate and amide groups in high-resolution protein crystal structures form hydrogen bonds with main-chain atoms reveals that the most common category is a two-hydrogen-bond four to five residue motif with an aspartate or asparagine (Asx) at the first residue, for which we propose the name Asx-motif. Similar motifs with glutamate or glutamine residues at that position are rare. Asx-motifs occur typically as (1) a common feature of the N termini of alpha-helices called the Asx N-cap motif; (2) an independent motif, usually a beta-turn with an appropriately hydrogen-bonded Asx as the first residue; and (3) a motif incorporated in a beta-bulge loop. Asx-motifs are common, there being just under two-and-a-half in an average-sized protein subunit; of these, about 55 % are Asx N-cap motifs. Because they occur often in many situations, it seems that these motifs have an inherent propensity to form on their own rather than just being a feature stabilised at the end of a helix. Asx-motifs also occur in functionally interesting situations in aspartyl proteases, citrate synthase, EF hands, haemoglobins, lipocalins, glutathione reductase and the alpha/beta hydrolases.

Amino Acid Sequence↗
PubMed1996

Peptides with more than one 106-amino acid sequence motif are needed to mimic the structural stability of spectrin.

The primary sequence of human erythrocyte spectrin contains repetitive homologous sequence motifs of approximately 106 amino acids with 22 such motifs in the alpha-subunit and 17 in the beta-subunit. These homologous sequence motifs have been proposed to form domains with a triple-helical bundle type structure (Speicher, D. W., and Marchesi, V. T. (1984) Nature 311, 177-180; Parry, D. A. D., Dixon, T. W., and Cohen, C. (1992) Biophys. J. 61, 858-867). In this study, we show that these sequence motifs, while they do form compact proteolytically resistant units, are not completely independent. Peptides composed of two or three such motifs in tandem are substantially more stable than peptides composed of a single motif, as measured by proteolysis or by fluorescence or circular dichroism studies of urea or thermal denaturation. Circular dichroism and infrared spectroscopy measurements also indicate that these larger, more stable peptides exhibit greater secondary structure. In these respects, the peptides with tandem sequence motifs are more similar to intact spectrin than the peptide with a single sequence motif. Thus, we conclude that peptides with more than one sequence motif model spectrin more adequately than the peptides with one sequence motif, and that these sequence motifs are not completely independent domains.

Circular Dichroism↗
PubMed1997

Score distributions for simultaneous matching to multiple motifs.

Several computer algorithms now exist for discovering multiple motifs (expressed as weight matrices) that characterize a family of protein sequences known to be homologous. This paper describes a method for performing similarity searches of protein sequence databases using such a group of motifs. By simultaneously using all the motifs that characterize a protein family, the sensitivity and specificity of the database search are increased. We define the p-value for a target sequence to be the probability of a random sequence of the same length scoring as well or better in comparison to all the motifs that characterize the family. (The p-value of a database search can be determined from this value and the size of the database.) We show that estimating the distribution of single motif scores by a Gaussian extreme value distribution is insufficiently accurate to provide a useful estimate of the p-value, but that this deficiency can be corrected by reestimating the parameters of the underlying Gaussian distribution from observed scores for comparison of a given motif and sequence database. These parameters are used to calculate a "reduced variate" which has a Gumbel limiting distribution. Multiple motif scores are combined to give a single p-value by using the sum of the reduced variates for the motif scores as the test statistic. We give a computationally efficient approximation to the distribution of the sum of independent Gumbel random variables and verify experimentally that it closely approximates the distribution of the test statistic. Experiments on pseudorandom sequences show that the approximated p-values are conservative, so the significance of high scores in database searches will not be overstated. Experiments with real protein sequences and motifs identified by the MEME algorithm show that determining an overall p-value based on the combination of multiple motifs gives significantly better database search results than using p-values of single motifs.

Models, Chemical↗
PubMed2006

MotifCut: regulatory motifs finding with maximum density subgraphs.

MOTIVATION: DNA motif finding is one of the core problems in computational biology, for which several probabilistic and discrete approaches have been developed. Most existing methods formulate motif finding as an intractable optimization problem and rely either on expectation maximization (EM) or on local heuristic searches. Another challenge is the choice of motif model: simpler models such as the position-specific scoring matrix (PSSM) impose biologically unrealistic assumptions such as independence of the motif positions, while more involved models are harder to parametrize and learn. RESULTS: We present MotifCut, a graph-theoretic approach to motif finding leading to a convex optimization problem with a polynomial time solution. We build a graph where the vertices represent all k-mers in the input sequences, and edges represent pairwise k-mer similarity. In this graph, we search for a motif as the maximum density subgraph, which is a set of k-mers that exhibit a large number of pairwise similarities. Our formulation does not make strong assumptions regarding the structure of the motif and in practice both motifs that fit well the PSSM model, and those that exhibit strong dependencies between position pairs are found as dense subgraphs. We benchmark MotifCut on both synthetic and real yeast motifs, and find that it compares favorably to existing popular methods. The ability of MotifCut to detect motifs appears to scale well with increasing input size. Moreover, the motifs we discover are different from those discovered by the other methods. AVAILABILITY: MotifCut server and other materials can be found at motifcut.stanford.edu.

Algorithms↗
PubMed1995

Two functionally distinct RNA-binding motifs in the regulatory domain of the protein kinase DAI.

The RNA-binding domain of the protein kinase DAI, the double-stranded RNA inhibitor of translation, contains two repeats of a motif that is also found in a number of other RNA-binding proteins. This motif consists of 67 amino acid residues and is predicted to contain a positively charged alpha helix at its C terminus. We have analyzed the effects of equivalent single amino acid changes in three conserved residues distributed over each copy of the motif. Mutants in the C-terminal portion of either repeat were severely defective, indicating that both copies of the motif are essential for RNA binding. Changes in the N-terminal and central parts of the motif were more debilitating if they were made in the first motif than in the second, suggesting that the first motif is the more important for RNA binding and that the second motif is structurally more flexible. When the second motif was replaced by a duplicate of the first motif, the ectopic copy retained its greater sensitivity to mutation, implying that the two motifs have distinct functions with respect to the process of RNA binding. Furthermore, the mutations have the same effect on the binding of double-stranded RNA and VA RNA, consistent with the existence of a single RNA-binding domain for both activating and inhibitory RNAs.

Amino Acid Sequence↗
PubMed1999

Octamer motif is required for the NF-kappaB-mediated induction of the inducible nitric oxide synthase gene expression in RAW 264.7 macrophages.

The promoter of the mouse inducible nitric oxide synthase (iNOS) has a putative octamer motif (ATGCAAAA) which exists 24 bp upstream from the TATA box and is mismatched at a single residue from the consensus octamer motif. To examine whether this site is involved in iNOS expression, we constructed various deletions and site-directed mutants of the iNOS promoter linked to the chloramphenicol acetyltransferase (CAT) reporter gene, transfected the constructs into RAW 264.7 macrophages, and stimulated the cells with interferon-gamma (IFN-gamma) and/or lipopolysaccharide (LPS). CAT activity was not induced by LPS in constructs containing only the octamer motif (-71 to +82), but was induced with constructs containing the octamer motif and the upstream sequences of the NF-kappaB site (-91 to +82). However, a site-directed mutation of the octamer motif in the context of the -91 to +82 promoter construct or an extended promoter construct (-1542 to +82) abolished IFN-gamma and/or LPS-induced CAT activity. Similar results were obtained from site-directed mutants at either the NF-kappaB site or both the NF-kappaB site and octamer motif in these two constructs. In addition, we demonstrated that the conversion of the iNOS octamer motif into a consensus sequence increased CAT activity. Electrophoretic mobility shift assay (EMSA) performed with the NF-kappaB site or the octamer motif-containing oligonucleotide probe revealed that NF-kappaB binding was induced by LPS treatment, while the Oct-1 binding was constitutive. Competition assays performed with octamer-related oligonucleotide competitors derived from the immunoglobulin-kappaB or SV40 promoter confirmed the identity of the iNOS promoter sequence as being a Oct-1 binding site. EMSA carried out using a probe containing both the NF-kappaB site and the octamer motif identified two LPS-induced complexes. Competition assays with each NF-kappaB site or octamer motif competitor revealed that NF-kappaB and Oct-1 were present in these two complexes. These data suggest that, besides the NF-kappaB site, the octamer motif is essential for the maximal expression of the iNOS gene in murine macrophages, and the direct interaction of Oct-1 and NF-kappaB is important for the regulation of this gene.

Animals↗
PubMed2003

Independent roles of XRCC1's two BRCT motifs in recovery from methylation damage.

XRCC1 is known to be involved in base excision repair (BER)/single-strand break repair (SSBR) through interaction with other BER enzymes. Hypersensitivity of XRCC1-deficient cells against alkylating agents has been explained by loss of interaction with BER proteins. XRCC1 is a unique DNA repair protein containing two BRCT motifs, recently identified in several DNA repair and cell cycle regulating proteins. To study the function(s) of the two BRCT motifs of the XRCC1 protein, we established CHO EM9 (XRCC1-null) cells expressing XRCC1 protein altered in either one of the two BRCT motifs. Colony-forming ability after methyl methanesulfonate (MMS) treatment was dependent on the BRCT-a motif, but not on the BRCT-b motif. Surprisingly, reduced BER/SSBR rate in vivo, measured by an alkaline comet assay, was observed in the BRCT-b motif-deficient cells, while the BRCT-a motif-deficient cells showed the repair rate comparable with the wild-type (WT) cells. The BRCT-a motif-mutated cells, instead, showed deficiency in initiation of DNA replications after MMS treatment. Furthermore, we found that XRCC1 is multiply phosphorylated in vivo and hyperphosphorylation of XRCC1 after MMS treatment is dependent on the BRCT-a motif. These data suggest a new function dependent on the integrity of the BRCT-a motif of XRCC1 in recovery from MMS-induced damage.

Amino Acid Motifs↗
PubMed2000

Structural analysis of multifunctional peptide motifs in human bifunctional tRNA synthetase: identification of RNA-binding residues and functional implications for tandem repeats.

Human bifunctional glutamyl-prolyl-tRNA synthetase (EPRS) contains three tandem repeats linking the two catalytic domains. These repeated motifs have been shown to be involved in protein-protein and protein-nucleic acid interactions. The single copy of the homologous motifs has also been found in several different aminoacyl-tRNA synthetases. The solution structure of repeat 1 (EPRS-R1) and the secondary structure of the whole appended domain containing three repeated motifs in EPRS (EPRS-R123) was determined by nuclear magnetic resonance (NMR) spectroscopy. EPRS-R1 consists of two helices (residues 679-699 and 702-721) arranged in a helix-turn-helix, which is similar to other RNA binding proteins and the j-domain of DnaJ, and EPRS-R123 is composed of three helix-turn-helix motifs linked by an unstructured loop. When tRNA is bound to the appended domain, chemical shifts of several residues in each repeat are perturbed. However, the perturbed residues in each repeat are not the same although they are in the same binding surface, suggesting that each repeat in the appended domain is dynamically arranged to maximize contacts with tRNA. The affinity of tRNA to the three-repeated motif was much higher than to the single motif. These results indicate that each of the repeated motifs has a weak intrinsic affinity for tRNA, but the repetition of the motifs may be required to enhance binding affinity. Thus, the results of this work gave information on the RNA-binding mode of the multifunctional peptide motif attached to different ARSs and the functional reason for the repetition of this motif.

Amino Acid Motifs↗
PubMed2000

A bipartite substrate recognition motif for cyclin-dependent kinases.

Cy or RXL motifs have been previously shown to be cyclin binding motifs found in a wide range of cyclin-Cdk interacting proteins. We report the first kinetic analysis of the contribution of a Cy motif on a substrate to phosphorylation by cyclin-dependent kinases. For both cyclin A-Cdk2 and cyclin E-Cdk2 enzymes, the presence of a Cy motif decreased the K(m(peptide)) 75-120-fold while the k(cat) remained unchanged. The large effect of the Cy motif on the K(m(peptide)) suggests that the Cy motif and (S/T)PX(K/R) together constitute a bipartite substrate recognition sequence for cyclin-dependent kinases. Systematic changes in the length of the linker between the Cy motif and the phosphoacceptor serine suggest that both sites are engaged simultaneously to the cyclin and the Cdk, respectively, and eliminate a "bind and release" mechanism to increase the local concentration of the substrate. PS100, a peptide containing a Cy motif, acts as a competitive inhibitor of cyclin-Cdk complexes with a 15-fold lower K(i) for cyclin E-Cdk2 than for cyclin A-Cdk2. These results provide kinetic proof that a Cy motif located a minimal distance from the SPXK is essential for optimal phosphorylation by Cdks and suggest that small chemicals that mimic the Cy motif would be specific inhibitors of substrate recognition by cyclin-dependent kinases.

Amino Acid Motifs↗
PubMed2004

Methods in comparative genomics: genome correspondence, gene identification and regulatory motif discovery.

In Kellis et al. (2003), we reported the genome sequences of S. paradoxus, S. mikatae, and S. bayanus and compared these three yeast species to their close relative, S. cerevisiae. Genomewide comparative analysis allowed the identification of functionally important sequences, both coding and noncoding. In this companion paper we describe the mathematical and algorithmic results underpinning the analysis of these genomes. (1) We present methods for the automatic determination of genome correspondence. The algorithms enabled the automatic identification of orthologs for more than 90% of genes and intergenic regions across the four species despite the large number of duplicated genes in the yeast genome. The remaining ambiguities in the gene correspondence revealed recent gene family expansions in regions of rapid genomic change. (2) We present methods for the identification of protein-coding genes based on their patterns of nucleotide conservation across related species. We observed the pressure to conserve the reading frame of functional proteins and developed a test for gene identification with high sensitivity and specificity. We used this test to revisit the genome of S. cerevisiae, reducing the overall gene count by 500 genes (10% of previously annotated genes) and refining the gene structure of hundreds of genes. (3) We present novel methods for the systematic de novo identification of regulatory motifs. The methods do not rely on previous knowledge of gene function and in that way differ from the current literature on computational motif discovery. Based on genomewide conservation patterns of known motifs, we developed three conservation criteria that we used to discover novel motifs. We used an enumeration approach to select strongly conserved motif cores, which we extended and collapsed into a small number of candidate regulatory motifs. These include most previously known regulatory motifs as well as several noteworthy novel motifs. The majority of discovered motifs are enriched in functionally related genes, allowing us to infer a candidate function for novel motifs. Our results demonstrate the power of comparative genomics to further our understanding of any species. Our methods are validated by the extensive experimental knowledge in yeast and will be invaluable in the study of complex genomes like that of the human.

Algorithms↗
PubMed2005

Conservative extraction of over-represented extensible motifs.

MOTIVATION: The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, the variety of motifs described by strings that include 'don't care' (dot) patterns escalates exponentially with the length of the motif, and this gets only worse if a dot is allowed to stretch up to some prescribed maximum length. This circumstance tends to generate daunting computational burdens, and often gives rise to tables that are impossible to visualize and digest. This is unfortunate, as it seems to preclude precisely those massive analyses that have become conceivable with the increasing availability of massive genomic and protein data. Although a part of the problem is endemic, another part of it seems rooted in the various characterizations offered for the notion of a motif, that are typically based either on syntax or on statistics alone. It seems worthwhile to consider alternatives that result from a prudent combination of these two aspects in the model. RESULTS: We introduce and study a notion of extensible motif in a sequence which tightly combines the structure of the motif pattern, as described by its syntactic specification, with the statistical measure of its occurrence count. We show that a combination of appropriate saturation conditions (expressed in terms of minimum number of dots compatible with a given list of occurrences) and the monotonicity of probabilistic scores over regions of constant frequency afford us significant parsimony in the generation and testing of candidate over-represented motifs. The merits of the method are documented by the results obtained in implementation, which specifically targeted protein sequence families. In all cases tested, the motif reported in PROSITE as the most important in terms of functional/structural relevance emerges among the top 30 extensible motifs returned by our algorithm, often right at the top. Of equal importance seems the fact that the sets of all surprising motifs returned in each experiment are extracted faster and come in much more manageable sizes than would be obtained in the absence of saturation constrains. AVAILABILITY: This software will be available for use with the suite of tools at www.research.ibm.com/bioinformatics.

Algorithms↗
PubMed2005

Identification of linkage-specific sequence motifs in sialyltransferases.

Eukaryotic sialyltransferases (SiaTs) comprise a superfamily of enzymes catalyzing the transfer of sialic acid (Sia) from a common donor substrate to various acceptor substrates in different linkages. These enzymes have been classified as ST3Gal, ST6Gal, ST6GalNAc, and ST8Sia families based on linkage- and acceptor monosaccharide-specificities and sequence similarities. It was recognized early on that SiaTs contain certain well-conserved motifs, and these were denoted as L (large)-, S (small)-, and VS (very small)-motifs; recently, a fourth motif, denoted as motif III, was identified. These four motifs are common to all the SiaTs, irrespective of the linkage- and acceptor saccharide-specificities. In this study, the sequences of the various families have been analyzed, and sequence motifs that are unique to the various families have been identified. These unique motifs are expected to contribute to the characteristic linkage- and acceptor saccharide-specificities of the family members. One of the linkage specific motifs is contiguous to L-motif. Members of ST3Gal and ST8Sia families share significant sequence similarities; in contrast, the ST6Gal family is distinct from the ST6GalNAc family. The latter consists of two subfamilies, one comprising ST6GalNAc I and ST6GalNAc II, and the other comprising ST6GalNAc III, ST6GalNAc IV, ST6GalNAc V, and ST6GalNAc VI. Each of these subfamilies has characteristic sequence motifs not present in the other subfamily.

Amino Acid Motifs↗
PubMed2003

Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs.

Scansite identifies short protein sequence motifs that are recognized by modular signaling domains, phosphorylated by protein Ser/Thr- or Tyr-kinases or mediate specific interactions with protein or phospholipid ligands. Each sequence motif is represented as a position-specific scoring matrix (PSSM) based on results from oriented peptide library and phage display experiments. Predicted domain-motif interactions from Scansite can be sequentially combined, allowing segments of biological pathways to be constructed in silico. The current release of Scansite, version 2.0, includes 62 motifs characterizing the binding and/or substrate specificities of many families of Ser/Thr- or Tyr-kinases, SH2, SH3, PDZ, 14-3-3 and PTB domains, together with signature motifs for PtdIns(3,4,5)P(3)-specific PH domains. Scansite 2.0 contains significant improvements to its original interface, including a number of new generalized user features and significantly enhanced performance. Searches of all SWISS-PROT, TrEMBL, Genpept and Ensembl protein database entries are now possible with run times reduced by approximately 60% when compared with Scansite version 1.0. Scansite 2.0 allows restricted searching of species-specific proteins, as well as isoelectric point and molecular weight sorting to facilitate comparison of predictions with results from two-dimensional gel electrophoresis experiments. Support for user-defined motifs has been increased, allowing easier input of user-defined matrices and permitting user-defined motifs to be combined with pre-compiled Scansite motifs for dual motif searching. In addition, a new series of Sequence Match programs for non-quantitative user-defined motifs has been implemented. Scansite is available via the World Wide Web at http://scansite.mit.edu.

Algorithms↗
PubMed2006

Disparate requirements for the Walker A and B ATPase motifs of human RAD51D in homologous recombination.

In vertebrates, homologous recombinational repair (HRR) requires RAD51 and five RAD51 paralogs (XRCC2, XRCC3, RAD51B, RAD51C and RAD51D) that all contain conserved Walker A and B ATPase motifs. In human RAD51D we examined the requirement for these motifs in interactions with XRCC2 and RAD51C, and for survival of cells in response to DNA interstrand crosslinks (ICLs). Ectopic expression of wild-type human RAD51D or mutants having a non-functional A or B motif was used to test for complementation of a rad51d knockout hamster CHO cell line. Although A-motif mutants complement very efficiently, B-motif mutants do not. Consistent with these results, experiments using the yeast two- and three-hybrid systems show that the interactions between RAD51D and its XRCC2 and RAD51C partners also require a functional RAD51D B motif, but not motif A. Similarly, hamster Xrcc2 is unable to bind to the non-complementing human RAD51D B-motif mutants in co-immunoprecipitation assays. We conclude that a functional Walker B motif, but not A motif, is necessary for RAD51D's interactions with other paralogs and for efficient HRR. We present a model in which ATPase sites are formed in a bipartite manner between RAD51D and other RAD51 paralogs.

Adenosine Triphosphatases↗
PubMed2006

SLiMDisc: short, linear motif discovery, correcting for common evolutionary descent.

Many important interactions of proteins are facilitated by short, linear motifs (SLiMs) within a protein's primary sequence. Our aim was to establish robust methods for discovering putative functional motifs. The strongest evidence for such motifs is obtained when the same motifs occur in unrelated proteins, evolving by convergence. In practise, searches for such motifs are often swamped by motifs shared in related proteins that are identical by descent. Prediction of motifs among sets of biologically related proteins, including those both with and without detectable similarity, were made using the TEIRESIAS algorithm. The number of motif occurrences arising through common evolutionary descent were normalized based on treatment of BLAST local alignments. Motifs were ranked according to a score derived from the product of the normalized number of occurrences and the information content. The method was shown to significantly outperform methods that do not discount evolutionary relatedness, when applied to known SLiMs from a subset of the eukaryotic linear motif (ELM) database. An implementation of Multiple Spanning Tree weighting outperformed two other weighting schemes, in a variety of settings.

Amino Acid Motifs↗
PubMed2006

Network motifs: structure does not determine function.

BACKGROUND: A number of publications have recently examined the occurrence and properties of the feed-forward motif in a variety of networks, including those that are of interest in genome biology, such as gene networks. The present work looks in some detail at the dynamics of the bi-fan motif, using systems of ordinary differential equations to model the populations of transcription factors, mRNA and protein, with the aim of extending our understanding of what appear to be important building blocks of gene network structure. RESULTS: We develop an ordinary differential equation model of the bi-fan motif and analyse variants of the motif corresponding to its behaviour under various conditions. In particular, we examine the effects of different steady and pulsed inputs to five variants of the bifan motif, based on evidence in the literature of bifan motifs found in Saccharomyces cerevisiae (commonly known as baker's yeast). Using this model, we characterize the dynamical behaviour of the bi-fan motif for a wide range of biologically plausible parameters and configurations. We find that there is no characteristic behaviour for the motif, and with the correct choice of parameters and of internal structure, very different, indeed even opposite behaviours may be obtained. CONCLUSION: Even with this relatively simple model, the bi-fan motif can exhibit a wide range of dynamical responses. This suggests that it is difficult to gain significant insights into biological function simply by considering the connection architecture of a gene network, or its decomposition into simple structural motifs. It is necessary to supplement such structural information by kinetic parameters, or dynamic time series experimental data, both of which are currently difficult to obtain.

Amino Acid Motifs↗
PubMed2004

Distinct recognition modes of FXXLF and LXXLL motifs by the androgen receptor.

Among nuclear receptors, the androgen receptor (AR) is unique in that its ligand-binding domain (LBD) interacts with the FXXLF motif in the N-terminal domain, resembling coactivator LXXLL motifs. We compared AR- and estrogen receptor alpha-LBD interactions of the wild-type AR FXXLF motif and coactivator transcriptional intermediary factor 2 LXXLL motifs and variants of these motifs. Random mutagenesis revealed a key role for the F residues in FXXLF motifs in high-affinity and selective AR LBD interaction. The FXXLF motif in full-length AR and transcriptional intermediary factor 2 LXXLL motifs competed for an overlapping binding site. A computer model of the AR LBD/AR FXXLF complex showed that the bulky F residues are buried in a deep coactivator-binding groove. The corresponding groove in estrogen receptor alpha LBD is considerably shallower, explaining lack of binding of any of the FXXLF motifs tested. FXXLF and LXXLL motif interaction depended on different charged amino acid residues in the AR LBD present at opposite ends of the coactivator groove. In conclusion, our data demonstrate the importance of a deep hydrophobic groove and alternative usage of charged amino acids in specifying peptide binding to the AR LBD.

Amino Acid Motifs↗