Song He

ORCID: 0000-0002-4136-6151
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About
Contact & Profiles
Research Areas
  • Molecular Sensors and Ion Detection
  • Computational Drug Discovery Methods
  • Luminescence and Fluorescent Materials
  • Bioinformatics and Genomic Networks
  • Sulfur Compounds in Biology
  • Soil Carbon and Nitrogen Dynamics
  • Gene expression and cancer classification
  • Advanced biosensing and bioanalysis techniques
  • Analytical Chemistry and Sensors
  • Catalytic C–H Functionalization Methods
  • Soil and Water Nutrient Dynamics
  • Metabolomics and Mass Spectrometry Studies
  • Electrocatalysts for Energy Conversion
  • Molecular Biology Techniques and Applications
  • Machine Learning in Materials Science
  • Pharmacogenetics and Drug Metabolism
  • Sulfur-Based Synthesis Techniques
  • RNA Research and Splicing
  • Electrochemical Analysis and Applications
  • Cell Image Analysis Techniques
  • Cancer Genomics and Diagnostics
  • Nitric Oxide and Endothelin Effects
  • RNA and protein synthesis mechanisms
  • Catalytic Cross-Coupling Reactions
  • Advanced battery technologies research

Academy of Military Medical Sciences
2022-2025

Chongqing Medical University
2023-2025

Anhui Agricultural University
2006-2024

University of Edinburgh
2024

Northwestern Polytechnical University
2018-2024

Tianjin University of Technology
2014-2024

Dalian Medical University
2023-2024

Second Affiliated Hospital of Chongqing Medical University
2023-2024

Shanghai Fudan Microelectronics (China)
2024

Fudan University
2024

Abstract Layered γ‐type iron oxyhydroxide (γ‐FeOOH) is a promising material for various applications; however, its sheet‐shaped structure often suffers from instability that results in aggregation and leads to inferior performance. Herein, kinetically controlled hydrolysis strategy proposed the scalable synthesis of γ‐FeOOH nanosheets arrays (NAs) with enhanced structural stability on diverse substrates at ambient conditions. The underlying mechanisms growth NAs associated their evolution...

10.1002/adma.202005587 article EN Advanced Materials 2021-02-10

Developing high-efficiency electrocatalysts for the hydrogen evolution and oxidation reactions (HER/HOR) in alkaline electrolytes is of critical importance realizing renewable technologies. Ruthenium phosphides (RuPx ) are promising candidates to substitute Pt-based electrodes; however, great challenges still remain their electronic structure regulation optimizing intermediate adsorption. Herein, it reported that a homologous RuP@RuP2 core-shell architecture constructed by...

10.1002/adma.202204624 article EN Advanced Materials 2022-07-22

A fused method using a combination of multi-omics data enables comprehensive study complex biological processes and highlights the interrelationship relevant biomolecules their functions. Driven by high-throughput sequencing technologies, several promising deep learning methods have been proposed for fusing generated from large number samples.

10.1186/s13059-022-02739-2 article EN cc-by Genome biology 2022-08-09

Abstract Global potent greenhouse gas nitrous oxide (N 2 O) emissions from soil are accelerating, with increases in the proportion of reactive nitrogen emitted as N O, i.e., O emission factor (EF). Yet, primary controls and underlying mechanisms EFs remain unresolved. Based on two independent but complementary global syntheses, three field studies determining effects acidity denitrifying microorganisms, we show that pH predominantly by affecting denitrifier community composition. Analysis...

10.1038/s41467-024-46931-3 article EN cc-by Nature Communications 2024-03-27

A photoinduced electron transfer (PET)-based chemosensor possessing dual PET processes by simultaneously introducing both nitrogen and sulfur donors was achieved. The fluorescence signal of the free is in a normal-off state due to donor being insensitive environmental pH stimuli. As result, device can be used over wide span 3–11. Upon binding Al3+, significant enhancement with turn-on ratio 110-fold triggered inhibition from fluorophore.

10.1021/ol202054v article EN Organic Letters 2011-09-14

A highly sensitive and selective fluorescent chemosensor SC1 for Ag(+) based on a coumarin-Se(2)N chelating conjugate has been synthesized characterized. Due to inhibiting photoinduced electron transfer (PET) quenching pathway, enhancement factor of 4-fold is observed under the binding cation with detection limit down 10(-8) M range.

10.1039/c0cc04589f article EN Chemical Communications 2010-12-17

A mild strategy for visible-light-induced synthesis of benzimidazoles was developed using aromatic aldehydes and <italic>o</italic>-phenylenediamines as substrates.

10.1039/c9gc01359h article EN Green Chemistry 2019-01-01

DEAD-box helicases (DDXs) regulate RNA processing and metabolism by unwinding short double-stranded (ds) RNAs. Sharing a helicase core composed of two RecA-like domains (D1D2), DDXs function in an ATP-dependent, non-processive manner. As attractive target for cancer AIDS treatment, DDX3X its orthologs are extensively studied, yielding wealth biochemical biophysical data, including structures apo-D1D2 post-unwound D1D2:single-stranded complex, the structure D2:dsRNA complex that is thought to...

10.1038/s41467-019-11083-2 article EN cc-by Nature Communications 2019-07-12

A facile low-temperature molten salt approach has been successfully developed to construct MoS<sub>2</sub>@CoS<sub>2</sub> heterostructures for high-efficiency hydrogen evolution reaction.

10.1039/d0cc01726d article EN Chemical Communications 2020-01-01

Enhancing soil organic carbon (SOC) through applying animal manure is of interest for both sustaining cereal production and mitigating greenhouse gas (GHG) emissions. Previous syntheses showed that manuring-induced SOC changes varied substantially with agricultural managements environmental conditions, while their significance relative importance to such variability are still largely uncertain. Here, we presented a new synthesis using an updated balanced database integrating the stock...

10.1111/gcb.15731 article EN Global Change Biology 2021-06-05

Abstract Combination therapy has shown an obvious efficacy on complex diseases and can greatly reduce the development of drug resistance. However, even with high-throughput screens, experimental methods are insufficient to explore novel combinations. In order search space combinations, there is urgent need develop more efficient computational predict recent decades, machine learning (ML) algorithms have been applied improve predictive performance. The object this study introduce discuss...

10.1093/bib/bbab355 article EN cc-by-nc Briefings in Bioinformatics 2021-09-02

Drug-target interaction (DTI) prediction plays an important role in drug repositioning, discovery and design. However, due to the large size of chemical genomic spaces complex interactions between drugs targets, experimental identification DTIs is costly time-consuming. In recent years, emerging graph neural network (GNN) has been applied DTI because can be represented effectively using graphs. some these methods are only based on homogeneous graphs, consist two decoupled steps that cannot...

10.1093/bib/bbac109 article EN Briefings in Bioinformatics 2022-03-04

The toxic effects of compounds on environment, humans, and other organisms have been a major focus many research areas, including drug discovery ecological research. Identifying the potential toxicity in early stage compound/drug is critical. rapid development computational methods for evaluating various categories has increased need comprehensive system-level collection toxicological data, associated attributes, benchmarks. To contribute toward this goal, we proposed TOXRIC...

10.1093/nar/gkac1074 article EN cc-by-nc Nucleic Acids Research 2022-11-18

Abstract Electrocatalysts play a crucial role in hydrogen production via water splitting, yet their effectiveness is hampered by the bubble effect, particularly under high‐current‐density conditions. Herein, nickel foam with mountain‐shaped nanostripes (NFMN) developed as universal substrate for electrocatalysts to remove gas bubbles efficiently, ensuring high‐performance splitting. The NFMN fabricated through facet engineering of (NF) thiocyanate‐guided acid etching. Specifically, when...

10.1002/adfm.202311854 article EN Advanced Functional Materials 2023-12-24

Combination therapy is a promising approach in treating multiple complex diseases. However, the large search space of available drug combinations exacerbates challenge for experimental screening. To predict synergistic different cancer cell lines, we propose an improved deep forest-based method, ForSyn, and design two forest types embedded ForSyn. ForSyn handles imbalanced high-dimensional data medium-/small-scale datasets, which are inherent characteristics combination datasets. Compared...

10.1016/j.crmeth.2023.100411 article EN cc-by-nc-nd Cell Reports Methods 2023-02-01

Nanoarray electrocatalysts with unique advantage of facilitating gas bubble detachment have garnered significant interest in evolution reactions (GERs). Existing research is largely based on a static hypothesis, assuming that buoyancy the only driving force for release bubbles during GERs. However, this hypothesis overlooks effect self-dynamic electrolyte flow, which induced by mature and helps destabilize smaller, immature nearby. Herein, enhancing flow nanoarray structures examined....

10.1002/adma.202307017 article EN Advanced Materials 2023-10-12

A fluorescent chemosensor with high sensitivity and selectivity for palladium species based on a conjugate of phosphine rhodamine B has been developed. The showed an excellent detection limit down to the 10−9 M range, which is lower than WHO content in drug chemicals.

10.1039/c2cc37746b article EN Chemical Communications 2012-12-06

A NIR rhodamine fluorophore, <bold>TJ730,</bold> with a large Stokes shift over 110 nm has been developed. Using the dye as platform, we have prepared two novel probes for detection of Cu<sup>2+</sup> well cytoplasmic and lysosomal imaging in living cells.

10.1039/c7cc06220f article EN Chemical Communications 2017-01-01

The ability to predict the interaction of drugs with target proteins is essential research and development drug. However, traditional experimental paradigm costly, previous in silico prediction paradigms have been impeded by wide range data platforms scarcity.In this paper, we modeled drug-target interactions as a binary classification task. Using transcriptome from L1000 database LINCS project, developed framework based on deep-learning algorithm potential drug interactions. Once fully...

10.1186/s12864-018-5031-0 article EN cc-by BMC Genomics 2018-09-01
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