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Lixin Zhang

Researcher at East China University of Science and Technology

Publications -  716
Citations -  28752

Lixin Zhang is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Cache & Chemistry. The author has an hindex of 78, co-authored 659 publications receiving 23737 citations. Previous affiliations of Lixin Zhang include Chinese Academy of Sciences & University of Science and Technology of China.

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Journal ArticleDOI

Enhanced sensitivity to oxidative stress in an Arabidopsis nitric oxide synthase mutant.

TL;DR: Results indicated that nitric oxide could protect the damage against NaCl and MV treatments, and showed increased hypersensitivity to salt stress and methyl viologen treatment.
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Bioprospecting for antituberculosis leads from microbial metabolites

TL;DR: The approaches used in biodiversity- and taxonomy-guided microbial natural product library construction, specific cell-based and target-based high-throughput screening assays and early-stage dereplication processes by liquid chromatography-mass spectrometry (LC-MS) are discussed.
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PPR-SMR protein SOT1 has RNA endonuclease activity.

TL;DR: It is demonstrated that SUPPRESSOR of THYLAKOID FORMATION 1 (SOT1), an Arabidopsis pentatricopeptide repeat (PPR) protein with a small MutS-related (SMR) domain, has RNA endonuclease activity and can be engineered to recognize and cleave a predicted RNA substrate.
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Origin of insulating behavior of the p-type LaAlO3/SrTiO3 interface: Polarization-induced asymmetric distribution of oxygen vacancies

TL;DR: In this paper, it is revealed from first-principles calculations that polarization-induced asymmetric distribution of oxygen vacancies plays an important role in the insulating behavior at p-type LaAlO3/SrTiO3 interface.
Proceedings ArticleDOI

CVR: efficient vectorization of SpMV on x86 processors

TL;DR: The Compressed Vectorization-oriented sparse Row (CVR), a novel SpMV representation targeting efficient vectorization, is presented, which is insensitive to the sparsity and irregularity of SpMv, and thus able to deal with various scale-free and HPC matrices.