Identification Of Functional Regions Research Articles

Identification of Functional Regions Defining Different Activity in Caspase-3 and Caspase-7 within Cells

Caspases are central to apoptosis, and the principal executioner caspases, caspase-3 and -7, were reported to be similar in activity, primary structure, and three-dimensional structure. Here, we identified different activity in caspase-3 and -7 within cells and examined the relationship between their structure and function using human cells expressing almost equal amounts of exogenous caspase-3, caspase-7, and/or chimeric constructs after down-regulation of endogenous caspase-3 and -7 expression. Caspase-3 (produced in human cells) showed much stronger cleaving activity than caspase-7 against a low molecular weight substrate in vitro dependent on four specific amino acid regions. Within cells, however, an additional three regions were required for caspase-3 to exert much stronger protease activity than caspase-7 against cellular substrates. Three of the former four regions and the latter three regions were shown to form two different three-dimensional structures that were located at the interface of the homodimer of procaspase-7 on opposite sides. In addition, procaspase-3 and -7 revealed specific homodimer-forming activity within cells dependent on five amino acid regions, which were included in the regions critical to the cleaving activity within cells. Thus, human caspase-3 and -7 exhibit differences in protease activity, specific homodimer-forming activity, and three-dimensional structural features, all of which are closely interrelated.

Classification of protein sequences by means of irredundant patterns.

BackgroundThe classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of different patterns, have been previously proposed. Almost all string-based approaches discover patterns that are not "independent, " and therefore the associated scores overcount, a multiple number of times, the contribution of patterns that cover the same region of a sequence.ResultsIn this paper we use a class of patterns, called irredundant, that is specifically designed to address this issue. Loosely speaking the set of irredundant patterns is the smallest class of "independent" patterns that can describe all common patterns in two sequences, thus they avoid overcounting. We present a novel discriminative method, called Irredundant Class, based on the statistics of irredundant patterns combined with the power of support vector machines.ConclusionTests on benchmark data show that Irredundant Class outperforms most of the string algorithms previously proposed, and it achieves results as good as current state-of-the-art methods. Moreover the footprints of the most discriminative irredundant patterns can be used to guide the identification of functional regions in protein sequences.

A new measurement of sequence conservation

BackgroundUnderstanding sequence conservation is important for the study of sequence evolution and for the identification of functional regions of the genome. Current studies often measure sequence conservation based on every position in contiguous regions. Therefore, a large number of functional regions that contain conserved segments separated by relatively long divergent segments are ignored. Our goal in this paper is to define a new measurement of sequence conservation such that both contiguously conserved regions and discontiguously conserved regions can be detected based on this new measurement. Here and in the following, conserved regions are those regions that share similarity higher than a pre-specified similarity threshold with their homologous regions in other species. That is, conserved regions are good candidates of functional regions and may not be always functional. Moreover, conserved regions may contain long and divergent segments.ResultsTo identify both discontiguously and contiguously conserved regions, we proposed a new measurement of sequence conservation, which measures sequence similarity based only on the conserved segments within the regions. By defining conserved segments using the local alignment tool CHAOS, under the new measurement, we analyzed the conservation of 1642 experimentally verified human functional non-coding regions in the mouse genome. We found that the conservation in at least 11% of these functional regions could be missed by the current conservation analysis methods. We also found that 72% of the mouse homologous regions identified based on the new measurement are more similar to the human functional sequences than the aligned mouse sequences from the UCSC genome browser. We further compared BLAST and discontiguous MegaBLAST with our method. We found that our method picks up many more conserved segments than BLAST and discontiguous MegaBLAST in these regions.ConclusionsIt is critical to have a new measurement of sequence conservation that is based only on the conserved segments in one region. Such a new measurement can aid the identification of better local "orthologous" regions. It will also shed light on the identification of new types of conserved functional regions in vertebrate genomes [1].

Genome Annotation in Plants and Fungi: EuGene as a Model Platform

In this era of whole genome sequencing, reliable genome annotations (identification of functional regions) are the cornerstones for many subsequent analyses. Not only is careful annotation important for studying the gene and gene family content of a genome and its host, but also for wide-scale transcriptome and proteome analyses attempting to de- scribe a certain biological process or to get a global picture of a cell's behavior. Although the number of sequenced ge- nomes is increasing thanks to the application of new technologies, genome-wide analyses will critically depend on the quality of the genome annotations. However, the annotation process is more complicated in the plant field than in the animal field because of the limited funding that leads to much fewer experimental data and less annotation expertise. This situation calls for highly automated annotation platforms that can make the best use of all available data, experimental or not. We discuss how the gene prediction (the process of predicting protein gene structures in genomic sequences) research field increasingly shifts from methods that typically exploited one or two types of data to more integrative approaches that simultaneously deal with various experimental, statistical, or other in silico evidence. We illustrate the importance of inte- grative approaches for producing high-quality automatic annotations of genomes of plants and algae as well as of fungi that live in close association with plants using the platform EuGene as an example.

Genome-wide identification of coding and non-coding conserved sequence tags in human and mouse genomes

BackgroundThe accurate detection of genes and the identification of functional regions is still an open issue in the annotation of genomic sequences. This problem affects new genomes but also those of very well studied organisms such as human and mouse where, despite the great efforts, the inventory of genes and regulatory regions is far from complete. Comparative genomics is an effective approach to address this problem. Unfortunately it is limited by the computational requirements needed to perform genome-wide comparisons and by the problem of discriminating between conserved coding and non-coding sequences. This discrimination is often based (thus dependent) on the availability of annotated proteins.ResultsIn this paper we present the results of a comprehensive comparison of human and mouse genomes performed with a new high throughput grid-based system which allows the rapid detection of conserved sequences and accurate assessment of their coding potential. By detecting clusters of coding conserved sequences the system is also suitable to accurately identify potential gene loci.Following this analysis we created a collection of human-mouse conserved sequence tags and carefully compared our results to reliable annotations in order to benchmark the reliability of our classifications. Strikingly we were able to detect several potential gene loci supported by EST sequences but not corresponding to as yet annotated genes.ConclusionHere we present a new system which allows comprehensive comparison of genomes to detect conserved coding and non-coding sequences and the identification of potential gene loci. Our system does not require the availability of any annotated sequence thus is suitable for the analysis of new or poorly annotated genomes.

Functional Region Identification in Proteins by Accumulative–Quantitative Peptide Mapping Using RP-HPLC-MS

A new method was developed to identify regions in proteins from which peptides are derived with specific functional properties. This method is applicable for systems in which peptides of a hydrolyzed protein possess specific functional properties, but are too large to be sequenced directly and/or the peptide mixture is too complex to purify and characterize each peptide individually. In the present work, aggregating peptides obtained by proteolytic hydrolysis of soy glycinin were used as a case study. The aggregating peptides are isolated and subsequently further degraded with trypsin to result in peptides with a mass <5000 Da to enable sequence identification using RP-HPLC-MS in combination with MS/MS. Prior to RP-HPLC the peptides are fractionated using anion and cation exchange chromatography. The fractions obtained are analyzed with RP-HPLC-MS. The peptides, with identified sequences, were quantified using the peak areas of the RP-HPLC chromatograms measured at 214 nm. Next, the peak areas were corrected for the molar extinction coefficient of the individual peptides, followed by accumulative-quantitative peptide mapping. The results show that in complex systems, based on the method described, the regions in the parental protein from which the functional peptides originate can be properly identified.

The identification of functional regions: theory, methods, and applications

A functional region is characterised by a high frequency of intra-regional interaction. The text analyses how functional regions can be identified by using labour market data. Three approaches are applied in this task, named the local labour market, commuting zone, and accessibility approach, respectively. The text includes an application using the Fyrstad region. The situation is also studied at two points in time. The outcomes using the different approaches are compared, and the results combined have a richer flavour.

Transcriptional Regulation of the Intra-S-Phase Regulator CDC7 in Human Myeloid Leukemic Cells: A New Downstream Target of the C-Myb Protooncogene.

The c-myb proto-oncogene encodes a transcription factor, Myb, which is essential for the growth and proliferation of normal and malignant hematopoietic cells. We, and others, have previously shown that malignant hematopoietic cells are much more dependent on c-myb function than are normal hematopoeitic cells, and that transient disruption of c-myb expression causes malignant cells to undergo apoptosis while normal cells are relatively spared. Based on these findings, we hypothesized that c-myb regulates a unique set of genes in leukemic cells that are required for cell survival. To identify Myb gene targets, we performed a transcriptome analysis using human myeloid leukemic cells engineered to express a conditionally active dominant negative Myb (MERT). Analysis of the microarray data revealed that when Myb activity was inhibited by tamoxifen in MERT cells, CDC7, an intra-S phase regulator, decreased in expression 2.8-fold compared to untreated control cells. To verify this, we utilized real-time PCR to quantitate the expression of CDC7, and found that it decreased 5-fold in tamoxifen treated MERT cells relative to control cells. In aggregate, the microarray and real-time PCR data suggested that Myb directly regulates CDC7 gene expression in hematopoietic cells. To address this question in the absence of a formally defined human CDC7 promoter, we examined the DNA sequence upstream of the predicted transcription start site (as noted in Genbank accession # AY585721) for potential Myb transcription factor binding motifs. After scanning the DNA sequence (~3kb) upstream of the predicted transcription start site, nine potential Myb response elements (MREs) were identified. The CDC7 sequences from mouse, chimp, and yeast were also analyzed for MREs and compared to those present in the putative human CDC7 promoter to identify conserved MREs. Using this strategy, we also identified potential AML1, PU.1, CBP, STAT3, and STAT5 binding motifs within the human CDC7 promoter region. To determine if any of the potential Myb binding sites with the CDC7 promoter were actually utilized in vivo, we carried out chromatin immunoprecopitation (ChIP) assays. When the chromatin from untreated MERT cells was immunoprecipitated with anti-c-Myb, we observed one PCR product using a primer pair that flanked each conserved MRE. These same results were obtained in our positive control ChIP experiment in which the chromatin was immunoprecipitated with anti-acetyl histone 4. When Myb transactivation activity was inhibited in tamoxifen treated MERT cells, no PCR product was detected following chromatin immunoprecipitation with the anti-Myb antibody suggesting that the ChIP binding results were not due to artifact. We have just completed a primer extension assay with a Fam-labeled primer that flanked the predicted CDC7 promoter region and will use the resulting sequence data to identify the actual CDC7 transcriptional start site. We will also shortly complete identification of functional regions within the human CDC7 promoter through use of Luciferase reporter assays. Investigation of the transcriptional regulation of CDC7 in hematopoietic cells may yield new clues to Myb's role in leukemogenesis.

In silico identification of functional regions in proteins

In silico prediction of functional regions on protein surfaces, i.e. sites of interaction with DNA, ligands, substrates and other proteins, is of utmost importance in various applications in the emerging fields of proteomics and structural genomics. When a sufficient number of homologs is found, powerful prediction schemes can be based on the observation that evolutionarily conserved regions are often functionally important, typically, only the principal functionally important region of the protein is detected, while secondary functional regions with weaker conservation signals are overlooked. Moreover, it is challenging to unambiguously identify the boundaries of the functional regions. We present a new methodology, called PatchFinder, that automatically identifies patches of conserved residues that are located in close proximity to each other on the protein surface. PatchFinder is based on the following steps: (1) Assignment of conservation scores to each amino acid position on the protein surface. (2) Assignment of a score to each putative patch, based on its likelihood to be functionally important. The patch of maximum likelihood is considered to be the main functionally important region, and the search is continued for non-overlapping patches of secondary importance. We examined the accuracy of the method using the IGPS enzyme, the SH2 domain and a benchmark set of 112 proteins. These examples demonstrated that PatchFinder is capable of identifying both the main and secondary functional patches. The PatchFinder program is available at: http://ashtoret.tau.ac.il/~nimrodg/

Vestige: Maximum likelihood phylogenetic footprinting

BackgroundPhylogenetic footprinting is the identification of functional regions of DNA by their evolutionary conservation. This is achieved by comparing orthologous regions from multiple species and identifying the DNA regions that have diverged less than neutral DNA. Vestige is a phylogenetic footprinting package built on the PyEvolve toolkit that uses probabilistic molecular evolutionary modelling to represent aspects of sequence evolution, including the conventional divergence measure employed by other footprinting approaches. In addition to measuring the divergence, Vestige allows the expansion of the definition of a phylogenetic footprint to include variation in the distribution of any molecular evolutionary processes. This is achieved by displaying the distribution of model parameters that represent partitions of molecular evolutionary substitutions. Examination of the spatial incidence of these effects across regions of the genome can identify DNA segments that differ in the nature of the evolutionary process.ResultsVestige was applied to a reference dataset of the SCL locus from four species and provided clear identification of the known conserved regions in this dataset. To demonstrate the flexibility to use diverse models of molecular evolution and dissect the nature of the evolutionary process Vestige was used to footprint the Ka/Ks ratio in primate BRCA1 with a codon model of evolution. Two regions of putative adaptive evolution were identified illustrating the ability of Vestige to represent the spatial distribution of distinct molecular evolutionary processes.ConclusionVestige provides a flexible, open platform for phylogenetic footprinting. Underpinned by the PyEvolve toolkit, Vestige provides a framework for visualising the signatures of evolutionary processes across the genome of numerous organisms simultaneously. By exploiting the maximum-likelihood statistical framework, the complex interplay between mutational processes, DNA repair and selection can be evaluated both spatially (along a sequence alignment) and temporally (for each branch of the tree) providing visual indicators to the attributes and functions of DNA sequences.

Computed energetics of nucleotides in spatial ribozyme structures: an accurate identification of functional regions from structure.

Ribozymes are functionally diverse RNA molecules with intrinsic catalytic activity. Multiple structural and biochemical studies are required to establish which nucleotide bases are involved in the catalysis. The relative energetic properties of the nucleotide bases have been analyzed in a set of the known ribozyme structures. It was found that many of the known catalytic nucleotides can be identified using only the structure without any additional biochemical data. The results of the calculations compare well with the available biochemical data on RNA stability. Extensive in silico mutagenesis suggests that most of the nucleotides in ribozymes stabilize the RNA. The calculations show that relative contribution of the catalytic bases to RNA stability observably differs from contributions of the noncatalytic bases. Distinction between the concepts of “relative stability” and “mutational stability” is suggested. As results of prediction for several models of ribozymes appear to be in agreement with the published data on the potential active site regions, the method can potentially be used for prediction of functional nucleotides from nucleic sequence.

ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information.

We recently developed algorithmic tools for the identification of functionally important regions in proteins of known three dimensional structure by estimating the degree of conservation of the amino-acid sites among their close sequence homologues. Projecting the conservation grades onto the molecular surface of these proteins reveals patches of highly conserved (or occasionally highly variable) residues that are often of important biological function. We present a new web server, ConSurf, which automates these algorithmic tools. ConSurf may be used for high-throughput characterization of functional regions in proteins. The ConSurf web server is available at:http://consurf.tau.ac.il. A set of examples is available at http://consurf.tau.ac.il under 'GALLERY'.

Identification of functional regions of Cbp3p, an enzyme-specific chaperone required for the assembly of ubiquinol-cytochrome c reductase in yeast mitochondria

The Cbp3 protein of Saccharomyces cerevisiae is an enzyme-specific chaperone required for the assembly of ubiquinol-cytochrome c reductase of the mitochondrial respiratory chain. To gain preliminary insight into the role of Cbp3p during assembly, 29 independently isolated mutants were examined to define functional regions of the protein. Mutants were analyzed with respect to respiratory growth, ubiquinol-cytochrome c reductase assembly, and steady state amounts of enzyme subunits and Cbp3p. Three regions essential for Cbp3p activity were identified: regions 1 and 3 were required for Cbp3p function, while region 2 was necessary for protein stability. Mutation of Glu134 in region 1 (Cys124 through Ala140) impaired the ability of the Rieske FeS protein to assemble with the enzyme complex. Mutations targeted to region 3 (Gly223 through Asp229) primarily affected the 14 kDa subunit and cytochrome c 1 assembly. Gly223 was found especially sensitive to mutation and the introduction of charged residues at this site compromised Cbp3p functional activity. Region 2 (Leu167 through Pro175) overlapped the single hydrophobic domain of Cbp3p. Mutations within this area altered the association of Cbp3p with the mitochondrial membrane resulting in enhanced protein turnover. The role of the amino-terminus in Cbp3p activity was investigated using cbp3 deletion strains Δ12–23, Δ24–54, Δ56–96 and Δ12–96. All mutants were respiratory competent, indicating that residues 12–96 were not essential for Cbp3p function, stability or mitochondrial import. Analysis of carboxy-terminal deletion mutants demonstrated that the final 44 residues were not necessary for Cbp3p function; however, alterations in the secondary structure of the extreme carboxy-terminal 17 residues affected assembly protein activity.

ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information

Experimental approaches for the identification of functionally important regions on the surface of a protein involve mutagenesis, in which exposed residues are replaced one after another while the change in binding to other proteins or changes in activity are recorded. However, practical considerations limit the use of these methods to small-scale studies, precluding a full mapping of all the functionally important residues on the surface of a protein. We present here an alternative approach involving the use of evolutionary data in the form of multiple-sequence alignment for a protein family to identify hot spots and surface patches that are likely to be in contact with other proteins, domains, peptides, DNA, RNA or ligands. The underlying assumption in this approach is that key residues that are important for binding should be conserved throughout evolution, just like residues that are crucial for maintaining the protein fold, i.e. buried residues. A main limitation in the implementation of this approach is that the sequence space of a protein family may be unevenly sampled, e.g. mammals may be overly represented. Thus, a seemingly conserved position in the alignment may reflect a taxonomically uneven sampling, rather than being indicative of structural or functional importance. To avoid this problem, we present here a novel methodology based on evolutionary relations among proteins as revealed by inferred phylogenetic trees, and demonstrate its capabilities for mapping binding sites in SH2 and PTB signaling domains. A computer program that implements these ideas is available freely at: http://ashtoret.tau.ac.il/∼rony

Identification of functional regions within invasion plasmid antigen C (IpaC) of Shigella flexneri

Shigella flexneri causes bacillary dysentery with symptoms resulting from the inflammation that accompanies bacterial entry into the cells of the colonic epithelium. The effectors of S. flexneri invasion are the Ipa proteins, particularly IpaB and IpaC, which are secreted at the host-pathogen interface following bacterial contact with a host cell. Of the purified Ipa proteins, only IpaC has been shown to possess quantifiable in vitro activities that are related to cellular invasion. In this study, ipaC deletion mutants were generated to identify functional regions within the IpaC protein. From these data, we now know that the N-terminus and an immunogenic central region are not required for IpaC-dependent enhancement of cellular invasion by S. flexneri. However, to restore invasiveness to an ipaC null mutant of S. flexneri, the N-terminus is essential, because IpaC mutants lacking the N-terminus are not secreted by the bacterium. Deletion of the central hydrophobic region eliminates IpaC's ability to interact with phospholipid membranes, and fusion of this region to a modified form of green fluorescent protein converts it into an efficient membrane-associating protein. Meanwhile, deletion of the C-terminus eliminates the mutant protein's ability to establish protein-protein contacts with full-length IpaC. Interestingly, the mutant form of ipaC that restores partial invasiveness to the S. flexneri ipaC null mutant also restores full contact-mediated haemolysis activity to this bacterium. These data support a model in which IpaC possesses a distinct functional organization that is important for bacterial invasion. This information will be important in defining the precise role of IpaC in S. flexneri pathogenesis and in exploring the potential effects of purified IpaC at mucosal surfaces.

Functional classification of proteins by pattern discovery and top-down clustering of primary sequences

Given a functionally heterogeneous set of proteins, such as a large superfamily or an entire database, two important problems in biology are the automated inference of subsets of functionally related proteins and the identification of functional regions and residues. The former is typically performed in an unsupervised bottom-up manner, by clustering based on pair-wise sequence similarity. The latter is performed independently, in a supervised top-down manner starting from functional sets that have already been identified by either biological or computational means. Clearly, however, the two processes remain inextricably linked, because functional motifs and residues are related to corresponding functional clusters. This paper introduces a high-performance, top-down clustering technique and the corresponding system that determines functionally related clusters and functional motifs by coupling a pattern discovery algorithm, a statistical framework for the analysis of discovered patterns, and a motif refinement method based on hidden Markov models. Results are reported for the G protein-coupled receptor superfamily. These show that a significant majority of well-known functional sets and biologically relevant motifs are correctly recovered. They also show that a majority of the important functional residues reported in the literature occur in the inferred functional motifs. This technique has relevant implication in functional clustering and could be used as a highly predictive aid to mutagenesis experiments.

Identification of functional regions in cubilin, a novel receptor in vitamin and lipid metabolism

Identification of functional regions in cubilin, a novel receptor in vitamin and lipid metabolism

NF-κB Activation in CD27 Signaling: Involvement of TNF Receptor-Associated Factors in Its Signaling and Identification of Functional Region of CD27

AbstractCD27 belongs to TNF receptor family, and it is unique in this family for its disulfide-linked homodimerization of 55-kDa monomers. In the present study we demonstrate that overexpression of CD27 in 293 cells induces a low level of NF-κB activation, and the ligation of the receptor by its corresponding ligand (CD70) augments this signal dramatically. Either TNF receptor-associated factor-2 (TRAF2) or TRAF3 binds to the CD27 molecule from the coimmunoprecipitation experiment. This NF-κB activation signal is inhibited by dominant negative TRAF2 or intact TRAF3, indicating that TRAF2 and TRAF3 works as a mediator and an inhibitor, respectively. The activated NF-κB complex contains at least two components, p50 and p65, but not p52. All these phenomena have also been observed in the TNF receptor type II, CD30 and CD40 signaling system, indicating that this receptor family uses the common or similar molecules for this signal. Finally, we identified the 13-amino acid alignment in the cytoplasmic region of the CD27 molecule (residues 238–250 amino acids), which is critical for the NF-κB activation signal and also for its association with TRAFs. This amino acid alignment contains the EEEG sequence, which is essential for interaction of CD30 or CD40 with TRAFs (TRAF1 and TRAF2, but not TRAF3), and also contains the PIQED sequence, which is similar to PXQXT that is known to be necessary for interaction of TNF receptor II and CD30 with TRAFs (TRAF1, 2, and 3).

Identification of Functional Regions of the Nun Transcription Termination Protein of Phage HK022 and the N Antitermination Protein of Phage λ using Hybrid nun-NGenes

Phages λ and HK022 express proteins N and Nun, respectively, each of which acts with a number of Escherichia colihost Nus factors at λ NUTRNA sites, to influence transcription elongation. The λ nutsites, nearly identical sequences located downstream of the early promoters, pL and pR, were first identified as cis-acting signals required for the action of N in forming termination-resistant transcription complexes. Surprisingly, the Nun protein, resembling N and expressed by another lambdoid phage, HK022, also acts with Nus proteins to terminate specifically transcription initiating at pL and pR near the λ nutsites. Based on structural considerations of the amino acid sequences, we have constructed nine hybrid N-nungenes and used these hybrids to identify functional regions of the N and Nun proteins. Three classes of hybrid gene products were identified: (1) those that, like N, support antitermination, (2) those that, like Nun, terminate transcription, and (3) those that block N action but do not terminate transcription. We find that, similar to N, the amino-terminal portion of Nun is involved in RNA recognition. The more carboxy portions influence transcription elongation, antitermination (N) and termination (Nun). Depending on the derivations of the more carboxy regions, hybrids with either the N or Nun amino portions support either termination or antitermination. The activity of a hybrid protein may be influenced by the host strain depending on the nature of the rpoClocus, a locus encoding the β′ subunit of RNA polymerase. One of the hybrid proteins blocks antitermination when the rpoClocus is wild-type. The same hybrid in the presence of the rpoC100mutation, which alters the β′ subunit, has antitermination activity. This result supports the argument that the β′ subunit plays an essential role in determining the progress of transcription elongation.

Identification of functional regions in the human T-cell leukemia virus type I SU glycoprotein.

Single conservative and nonconservative amino acid substitutions were introduced into the gp45 external envelope protein (SU) of human T-cell leukemia virus type I (HTLV-I). The mutated amino acids were those identified as being conserved in HTLV-I, HTLV-II, and simian T-cell leukemia virus type I (but not in bovine leukemia virus). The mutated envelopes were tested for intracellular maturation and for function. Mutants with three major phenotypes could be defined: (i) 9 mutants with a wild-type phenotype, which included most of the conservative amino acid changes (five of seven) distributed throughout the SU protein; (ii) 8 mutants with affected intracellular maturation, 6 of which define a region in the central part of the SU protein essential for correct folding of the protein; and (iii) 13 mutants with normal intracellular maturation but impaired syncytium formation. These mutations likely affect the receptor binding step or postbinding events required for fusion. Five of these mutations are located between amino acids 75 and 101 of the SU protein, in the amino-terminal third of the molecule. The other mutations involve positions 170, 181, 195, 197, 208, 233, and 286, suggesting that two other domains, one central and one carboxy terminal, are involved in HTLV-I envelope functions.