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20,941 results on '"Raju, P"'

151. Structural Relationships to Efficacy for Prazole-Derived Antivirals.

Author

Nyenhuis, David, Watanabe, Susan, Bernstein, Rebecca, Swenson, Rolf, Raju, Natarajan, Sabbasani, Venkata, Mushti, Chandrasekhar, Lee, Duck-Yeon, Carter, Carol, and Tjandra, Nico

Subjects
NMR spectroscopy, antiviral agents, biophysics, drug design, protein modifications, Antiviral Agents, Humans, HIV-1, Endosomal Sorting Complexes Required for Transport, Structure-Activity Relationship, COVID-19 Drug Treatment, Virus Replication
Abstract

Here, an in vitro characterization of a family of prazole derivatives that covalently bind to the C73 site on Tsg101 and assay their ability to inhibit viral particle production is presented. Structurally, increased steric bulk on the 4-pyridyl of the prazole expands the prazole site on the UEV domain toward the β-hairpin in the Ub-binding site and is coupled to increased inhibition of virus-like particle production in HIV-1. Increased bulk also increased toxicity, which is alleviated by increasing flexibility. Further, the formation of a novel secondary Tsg101 adduct for several of the tested compounds and the commercial drug lansoprazole. The secondary adduct involved the loss of the 4-pyridyl substituent to form an irreversible species, with implications for increasing the half-life of the active species or its specificity toward Tsg101 UEV. It is also determined that sulfide derivatives display effective viral inhibition, presumably through cellular sulfoxidation, allowing for delayed conversion within the cellular environment, and identify SARS-COV-2 as a target of prazole inhibition. These results open multiple avenues for the design of prazole derivatives for antiviral applications.

Published
2024

152. On the complexity of sabotage games for network security

Author

Raju, Dhananjay, Bakirtzis, Georgios, and Topcu, Ufuk

Subjects
Computer Science - Computational Complexity, Computer Science - Cryptography and Security
Abstract

Securing dynamic networks against adversarial actions is challenging because of the need to anticipate and counter strategic disruptions by adversarial entities within complex network structures. Traditional game-theoretic models, while insightful, often fail to model the unpredictability and constraints of real-world threat assessment scenarios. We refine sabotage games to reflect the realistic limitations of the saboteur and the network operator. By transforming sabotage games into reachability problems, our approach allows applying existing computational solutions to model realistic restrictions on attackers and defenders within the game. Modifying sabotage games into dynamic network security problems successfully captures the nuanced interplay of strategy and uncertainty in dynamic network security. Theoretically, we extend sabotage games to model network security contexts and thoroughly explore if the additional restrictions raise their computational complexity, often the bottleneck of game theory in practical contexts. Practically, this research sets the stage for actionable insights for developing robust defense mechanisms by understanding what risks to mitigate in dynamically changing networks under threat.

Published
2023

153. Wee partons in QCD and gravity: double copy and universality

Author

Raj, Himanshu and Venugopalan, Raju

Subjects
High Energy Physics - Phenomenology, General Relativity and Quantum Cosmology, High Energy Physics - Theory, Nuclear Theory
Abstract

We discuss a quantitative "double copy" between radiation from shockwave collisions in Einstein gravity and in QCD. The correspondence extends to $2\rightarrow N$ amplitudes in Regge asymptotics. The classicalization and unitarization of these amplitudes at maximal occupancy, corresponding to black hole and Color Glass Condensate (CGC) states respectively, are described by the emergent Goldstone dynamics of wee partons. We outline some consequences of the universal dynamics on both sides of the correspondence., Comment: 4 pages, Talk in "Proceedings of XXXth International Conference on Ultra-relativistic Nucleus-Nucleus Collisions (Quark Matter 2023)"

Published
2023

154. Group inverses of matrices of simple symmetric directed graphs

Author

Nandi, Raju

Subjects
Mathematics - Combinatorics, 05C12 (primary) 05C50, 05C76 (secondary)
Abstract

A new class of simple symmetric digraphs called $\mathbb{D}$ is defined and studied here. Any digraph in $\mathbb{D}$ has the property that each non-pendant is adjacent to at least one pendant vertex. A graph theoretical description for the entries of the group inverse of a real square matrix $A$ with any digraph belonging to this class is given. We classify all the real square matrix $A$ such that the digraphs associated with $A$ and $A^{\#}$ both are in $\mathbb{D}$, that is the digraph related to $A$ is either a corona or a star digraph., Comment: 16 pages, 2 figures

Published
2023

155. Gravitational wave double copy of radiation from gluon shockwave collisions

Author

Raj, Himanshu and Venugopalan, Raju

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology, Nuclear Theory
Abstract

In a recent paper, we showed that the gravitational wave spectrum from trans-Planckian shockwave scattering in Einstein gravity is determined by the gravitational Lipatov vertex expressed as the bilinear double copy $\Gamma^{\mu\nu} = \frac12 C^\mu C^\nu - \frac12 N^\mu N^\nu$ where $C^\mu$ is the QCD Lipatov vertex and $N^\mu$ is the QED soft photon factor. We show here that this result can be directly obtained by careful application of the classical color-kinematic duality to the spectrum obtained in gluon shockwave collisions., Comment: 4 pages, revised version to appear in Physics Letters B

Published
2023

156. T-duality of emergent gravities on nilmanifolds

Author

Roychowdhury, Raju and Soriani, Leonardo

Subjects
High Energy Physics - Theory
Abstract

We study the transport of generalized metrics between topological T-dual nilmanifolds through a Lie algebraic point of view. Emergent gravities are generalized metrics with symplectic B-fields. But this additional property might not be preserved by the aforementioned transport. We describe a necessary condition for it to happen and provide working examples on self-T-dual nilmanifolds with zero $H$-flux in both 4 and 6 dimensions. We also discuss how this procedure fails in the presence of a non-zero $H$-flux., Comment: 17 pages

Published
2023

157. Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent

Author

Liu, Junfeng, Mei, Zhuocheng, Peng, Kewen, and Vatsavai, Ranga Raju

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Conversational agents leveraging AI, particularly deep learning, are emerging in both academic research and real-world applications. However, these applications still face challenges, including disrespecting knowledge and facts, not personalizing to user preferences, and enormous demand for computational resources during training and inference. Recent research efforts have been focused on addressing these challenges from various aspects, including supplementing various types of auxiliary information to the conversational agents. However, existing methods are still not able to effectively and efficiently exploit relevant information from these auxiliary supplements to further unleash the power of the conversational agents and the language models they use. In this paper, we present a novel method, PK-NCLI, that is able to accurately and efficiently identify relevant auxiliary information to improve the quality of conversational responses by learning the relevance among persona, chat history, and knowledge background through low-level normalized contextual latent interaction. Our experimental results indicate that PK-NCLI outperforms the state-of-the-art method, PK-FoCus, by 47.80%/30.61%/24.14% in terms of perplexity, knowledge grounding, and training efficiency, respectively, and maintained the same level of persona grounding performance. We also provide a detailed analysis of how different factors, including language model choices and trade-offs on training weights, would affect the performance of PK-NCLI., Comment: 2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Published
2023

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