Arabidopsis MBP1 gene encodes a conserved ubiquitin recognition component of the 26S proteasome.

Multiubiquitin chain attachment is a key step leading to the selective degradation of abnormal polypeptides and many important regulatory proteins by the eukaryotic 26S proteasome. However, the mechanism by which the 26S complex recognizes this posttranslational modification is unknown. Using synthetic multiubiquitin chains to probe an expression library for interacting proteins, we have isolated an Arabidopsis cDNA, designated MBP1, that encodes a 41-kDa acidic protein exhibiting high affinity for chains, especially those containing four or more ubiquitins. Based on similar physical and immunological properties, multiubiquitin binding affinities, and peptide sequence, MBP1 is homologous to subunit 5a of the human 26S proteasome. Structurally related proteins also exist in yeast, Caenorhabditis, and other plant species. Given their binding properties, association with the 26S proteasome, and widespread distribution, MBP1, S5a, and related proteins likely function as essential ubiquitin recognition components of the 26S proteasome.

A mean field model of ligand-protein interactions: implications for the structural assessment of human immunodeficiency virus type 1 protease complexes and receptor-specific binding.

We propose a general mean field model of ligand-protein interactions to determine the thermodynamic equilibrium of a system at finite temperature. The method is employed in structural assessments of two human immuno-deficiency virus type 1 protease complexes where the gross effects of protein flexibility are incorporated by utilizing a data base of crystal structures. Analysis of the energy spectra for these complexes has revealed that structural and thermo-dynamic aspects of molecular recognition can be rationalized on the basis of the extent of frustration in the binding energy landscape. In particular, the relationship between receptor-specific binding of these ligands to human immunodeficiency virus type 1 protease and a minimal frustration principle is analyzed.

Differential recognition of the type I interferon receptor by interferons tau and alpha is responsible for their disparate cytotoxicities.

Interferon tau (IFN tau), originally identified as a pregnancy recognition hormone, is a type I interferon that is related to the various IFN alpha species (IFN alpha s). Ovine IFN tau has antiviral activity similar to that of human IFN alpha A on the Madin-Darby bovine kidney (MDBK) cell line and is equally effective in inhibiting cell proliferation. In this study, IFN tau was found to differ from IFN alpha A in that is was > 30-fold less toxic to MDBK cells at high concentrations. Excess IFN tau did not block the cytotoxicity of IFN alpha A on MDBK cells, suggesting that these two type I IFNs recognize the type I IFN receptor differently on these cells. In direct binding studies, 125I-IFN tau had a Kd of 3.90 x 10(-10) M for receptor on MDBK cells, whereas that of 125I-IFN alpha A was 4.45 x 10(-11) M. Consistent with the higher binding affinity, IFN alpha A was severalfold more effective than IFN tau in competitive binding against 125I-IFN tau to receptor on MDBK cells. Paradoxically, the two IFNs had similar specific antiviral activities on MDBK cells. However, maximal IFN antiviral activity required only fractional occupancy of receptors, whereas toxicity was associated with maximal receptor occupancy. Hence, IFN alpha A, with the higher binding affinity, was more toxic than IFN tau. The IFNs were similar in inducing the specific phosphorylation of the type I receptor-associated tyrosine kinase Tyk2, and the transcription factors Stat1 alpha and Stat2, suggesting that phosphorylation of these signal transduction proteins is not involved in the cellular toxicity associated with type I IFNs. Experiments using synthetic peptides suggest that differences in the interaction at the N terminal of IFN tau and IFN alpha with the type I receptor complex contribute significantly to differences in high-affinity equilibrium binding of these molecules. It is postulated that such a differential recognition of the receptor is responsible for the similar antiviral but different cytotoxic effects of these IFNs. Moreover, these data imply that receptors are "spare'' with respect to certain biological properties, and we speculate that IFNs may induce a concentration-dependent selective association of receptor subunits.

Orp1, a member of the Cdc18/Cdc6 family of S-phase regulators, is homologous to a component of the origin recognition complex.

cdc18+ of Schizosaccharomyces pombe is a periodically expressed gene that is required for entry into S phase and for the coordination of S phase with mitosis. cdc18+ is related to the Saccharomyces cerevisiae gene CDC6, which has also been implicated in the control of DNA replication. We have identified a new Sch. pombe gene, orp1+, that encodes an 80-kDa protein with amino acid sequence motifs conserved in the Cdc18 and Cdc6 proteins. Genetic analysis indicates that orp1+ is essential for viability. Germinating spores lacking the orp1+ gene are capable of undergoing one or more rounds of DNA replication but fail to progress further, arresting as long cells with a variety of deranged nuclear structures. Unlike cdc18+, orp1+ is expressed constitutively during the cell cycle. cdc18+, CDC6, and orp1+ belong to a family of related genes that also includes the gene ORC1, which encodes a subunit of the origin recognition complex (ORC) of S. cerevisiae. The products of this gene family share a 250-amino acid domain that is highly conserved in evolution and contains several characteristic motifs, including a consensus purine nucleotide-binding motif. Among the members of this gene family, orp1+ is most closely related to S. cerevisiae ORC1. Thus, the protein encoded by orp1+ may represent a component of an Sch. pombe ORC. The orp1+ gene is also closely related to an uncharacterized putative human homologue. It is likely that the members of the cdc18/CDC6 family play key roles in the regulation of DNA replication during the cell cycle of diverse species from archaebacteria to man.

Scientific bases of human-machine communication by voice.

The scientific bases for human-machine communication by voice are in the fields of psychology, linguistics, acoustics, signal processing, computer science, and integrated circuit technology. The purpose of this paper is to highlight the basic scientific and technological issues in human-machine communication by voice and to point out areas of future research opportunity. The discussion is organized around the following major issues in implementing human-machine voice communication systems: (i) hardware/software implementation of the system, (ii) speech synthesis for voice output, (iii) speech recognition and understanding for voice input, and (iv) usability factors related to how humans interact with machines.

The role of voice input for human-machine communication.

Optimism is growing that the near future will witness rapid growth in human-computer interaction using voice. System prototypes have recently been built that demonstrate speaker-independent real-time speech recognition, and understanding of naturally spoken utterances with vocabularies of 1000 to 2000 words, and larger. Already, computer manufacturers are building speech recognition subsystems into their new product lines. However, before this technology can be broadly useful, a substantial knowledge base is needed about human spoken language and performance during computer-based spoken interaction. This paper reviews application areas in which spoken interaction can play a significant role, assesses potential benefits of spoken interaction with machines, and compares voice with other modalities of human-computer interaction. It also discusses information that will be needed to build a firm empirical foundation for the design of future spoken and multimodal interfaces. Finally, it argues for a more systematic and scientific approach to investigating spoken input and performance with future language technology.

Speech recognition technology: a critique.

This paper introduces the session on advanced speech recognition technology. The two papers comprising this session argue that current technology yields a performance that is only an order of magnitude in error rate away from human performance and that incremental improvements will bring us to that desired level. I argue that, to the contrary, present performance is far removed from human performance and a revolution in our thinking is required to achieve the goal. It is further asserted that to bring about the revolution more effort should be expended on basic research and less on trying to prematurely commercialize a deficient technology.

Military and government applications of human-machine communication by voice.

This paper describes a range of opportunities for military and government applications of human-machine communication by voice, based on visits and contacts with numerous user organizations in the United States. The applications include some that appear to be feasible by careful integration of current state-of-the-art technology and others that will require a varying mix of advances in speech technology and in integration of the technology into applications environments. Applications that are described include (1) speech recognition and synthesis for mobile command and control; (2) speech processing for a portable multifunction soldier's computer; (3) speech- and language-based technology for naval combat team tactical training; (4) speech technology for command and control on a carrier flight deck; (5) control of auxiliary systems, and alert and warning generation, in fighter aircraft and helicopters; and (6) voice check-in, report entry, and communication for law enforcement agents or special forces. A phased approach for transfer of the technology into applications is advocated, where integration of applications systems is pursued in parallel with advanced research to meet future needs.

Deployment of human-machine dialogue systems.

The deployment of systems for human-to-machine communication by voice requires overcoming a variety of obstacles that affect the speech-processing technologies. Problems encountered in the field might include variation in speaking style, acoustic noise, ambiguity of language, or confusion on the part of the speaker. The diversity of these practical problems encountered in the "real world" leads to the perceived gap between laboratory and "real-world" performance. To answer the question "What applications can speech technology support today?" the concept of the "degree of difficulty" of an application is introduced. The degree of difficulty depends not only on the demands placed on the speech recognition and speech synthesis technologies but also on the expectations of the user of the system. Experience has shown that deployment of effective speech communication systems requires an iterative process. This paper discusses general deployment principles, which are illustrated by several examples of human-machine communication systems.

Toward the ultimate synthesis/recognition system.

This paper predicts speech synthesis, speech recognition, and speaker recognition technology for the year 2001, and it describes the most important research problems to be solved in order to arrive at these ultimate synthesis and recognition systems. The problems for speech synthesis include natural and intelligible voice production, prosody control based on meaning, capability of controlling synthesized voice quality and choosing individual speaking style, multilingual and multidialectal synthesis, choice of application-oriented speaking styles, capability of adding emotion, and synthesis from concepts. The problems for speech recognition include robust recognition against speech variations, adaptation/normalization to variations due to environmental conditions and speakers, automatic knowledge acquisition for acoustic and linguistic modeling, spontaneous speech recognition, naturalness and ease of human-machine interaction, and recognition of emotion. The problems for speaker recognition are similar to those for speech recognition. The research topics related to all these techniques include the use of articulatory and perceptual constraints and evaluation methods for measuring the quality of technology and systems.

Cyclic polyamides for recognition in the minor groove of DNA.

Small molecules that specifically bind with high affinity to any designated DNA sequence in the human genome would be useful tools in molecular biology and potentially in human medicine. Simple rules have been developed to rationally alter the sequence specificity of minor groove-binding polyamides containing N-methylimidazole and N-methylpyrrole amino acids. Crescent-shaped polyamides bind as antiparallel dimers with each polyamide making specific contacts with each strand on the floor of the minor groove. Cyclic polyamides have now been synthesized that bind designated DNA sequences at subnanomolar concentrations.

The 94- to 97-kDa mouse macrophage membrane protein that recognizes oxidized low density lipoprotein and phosphatidylserine-rich liposomes is identical to macrosialin, the mouse homologue of human CD68.

We have previously reported the partial purification of a 94- to 97-kDa plasma membrane protein from mouse peritoneal macrophages that binds oxidatively modified low density lipoprotein (OxLDL) and phosphatidylserine-rich liposomes. We have now identified that protein as macrosialin, a previously cloned macrophage-restricted membrane protein in the lysosomal-associated membrane protein family (mouse homologue of human CD68). Early in the course of purification of the 94- to 97-kDa protein, a new OxLDL-binding band at 190-200 kDa appeared and copurified with the 94- to 97-kDa protein. The HPLC pattern of tryptic peptides from this higher molecular mass ligand-binding band closely matched that derived from the 94- to 97-kDa band. Specifically, the same three macrosialin-derived tryptic peptides (9, 9, and 15 residues) were present in the purified 94- to 97-kDa band and in the 190- to 200-kDa band and antisera raised against peptide sequences in macrosialin recognized both bands. An antiserum against macrosialin precipitated most of the 94- to 97-kDa OxLDL-binding material. We conclude that the binding of OxLDL to mouse macrophage membranes is in part attributable to macrosialin. Our previous studies show that OxLDL competes with oxidized red blood cells and with apoptotic thymocytes for binding to mouse peritoneal macrophages. Whether macrosialin plays a role in recognition of OxLDL and oxidatively damaged cells by intact macrophages remains uncertain.

CD14 enhances cellular responses to endotoxin without imparting ligand-specific recognition.

Binding of the lipid A portion of bacterial lipopolysaccharide (LPS) to leukocyte CD14 activates phagocytes and initiates the septic shock syndrome. Two lipid A analogs, lipid IVA and Rhodobacter sphaeroides lipid A (RSLA), have been described as LPS-receptor antagonists when tested with human phagocytes. In contrast, lipid IVA activated murine phagocytes, whereas RSLA was an LPS antagonist. Thus, these compounds displayed a species-specific pharmacology. To determine whether the species specificity of these LPS antagonists occurred as a result of interactions with CD14, the effects of lipid IVA and RSLA were examined by using human, mouse, and hamster cell lines transfected with murine or human CD14 cDNA expression vectors. These transfectants displayed sensitivities to lipid IVA and RSLA that reflected the sensitivities of macrophages of similar genotype (species) and were independent of the source of CD14 cDNA. For example, hamster macrophages and hamster fibroblasts transfected with either mouse or human-derived CD14 cDNA responded to lipid IVA and RSLA as LPS mimetics. Similarly, lipid IVA and RSLA acted as LPS antagonists in human phagocytes and human fibrosarcoma cells transfected with either mouse or human-derived CD14 cDNA. Therefore, the target of these LPS antagonists, which is encoded in the genomes of these cells, is distinct from CD14. Although the expression of CD14 is required for macrophage-like sensitivity to LPS, CD14 cannot discriminate between the lipid A moieties of these agents. We hypothesize that the target of the LPS antagonists is a lipid A recognition protein which functions as a signaling receptor that is triggered after interaction with CD14-bound LPS.

Structure of human T-cell receptors specific for an immunodominant myelin basic protein peptide: positioning of T-cell receptors on HLA-DR2/peptide complexes.

T-cell receptors (TCRs) recognize peptide bound within the relatively conserved structural framework of major histocompatibility complex (MHC) class I or class II molecules but can discriminate between closely related MHC molecules. The structural basis for the specificity of ternary complex formation by the TCR and MHC/peptide complexes was examined for myelin basic protein (MBP)-specific T-cell clones restricted by different DR2 subtypes. Conserved features of this system allowed a model for positioning of the TCR on DR2/peptide complexes to be developed: (i) The DR2 subtypes that presented the immunodominant MBP peptide differed only at a few polymorphic positions of the DR beta chain. (ii) TCR recognition of a polymorphic residue on the helical portion of the DR beta chain (position DR beta 67) was important in determining the MHC restriction. (iii) The TCR variable region (V) alpha 3.1 gene segment was used by all of the T-cell clones. TCR V beta usage was more diverse but correlated with the MHC restriction--i.e., with the polymorphic DR beta chains. (iv) Two clones with conserved TCR alpha chains but different TCR beta chains had a different MHC restriction but a similar peptide specificity. The difference in MHC restriction between these T-cell clones appeared due to recognition of a cluster of polymorphic DR beta-chain residues (DR beta 67-71). MBP-(85-99)-specific TCRs therefore appeared to be positioned on the DR2/peptide complex such that the TCR beta chain contacted the polymorphic DR beta-chain helix while the conserved TCR alpha chain contacted the nonpolymorphic DR alpha chain.

Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.

The stages of integration leading from local feature analysis to object recognition were explored in human visual cortex by using the technique of functional magnetic resonance imaging. Here we report evidence for object-related activation. Such activation was located at the lateral-posterior aspect of the occipital lobe, just abutting the posterior aspect of the motion-sensitive area MT/V5, in a region termed the lateral occipital complex (LO). LO showed preferential activation to images of objects, compared to a wide range of texture patterns. This activation was not caused by a global difference in the Fourier spatial frequency content of objects versus texture images, since object images produced enhanced LO activation compared to textures matched in power spectra but randomized in phase. The preferential activation to objects also could not be explained by different patterns of eye movements: similar levels of activation were observed when subjects fixated on the objects and when they scanned the objects with their eyes. Additional manipulations such as spatial frequency filtering and a 4-fold change in visual size did not affect LO activation. These results suggest that the enhanced responses to objects were not a manifestation of low-level visual processing. A striking demonstration that activity in LO is uniquely correlated to object detectability was produced by the "Lincoln" illusion, in which blurring of objects digitized into large blocks paradoxically increases their recognizability. Such blurring led to significant enhancement of LO activation. Despite the preferential activation to objects, LO did not seem to be involved in the final, "semantic," stages of the recognition process. Thus, objects varying widely in their recognizability (e.g., famous faces, common objects, and unfamiliar three-dimensional abstract sculptures) activated it to a similar degree. These results are thus evidence for an intermediate link in the chain of processing stages leading to object recognition in human visual cortex.