Shengli C. Zhang

Xi'an, 710071, China

Last Updated: 09/26/2026

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Found 38 publications

ESM2-Kcr: a novel model combining protein language model and deep learning methods for predicting lysine crotonylation sites.

ESM2-Kcr: a novel model combining protein language model and deep learning methods for predicting lysine crotonylation sites.

Journal: Journal of computer-aided molecular design
Published: February 18, 2026

Molecular insight into pemetrexed as a partial agonist of PPARγ through molecular dynamics simulations.

Molecular insight into pemetrexed as a partial agonist of PPARγ through molecular dynamics simulations.

Journal: Physical chemistry chemical physics : PCCP
Published: December 09, 2025

iAFP-fLRM: Accurate identification of antifungal peptides via hybrid deep learning architecture and multi-modal feature fusion.

iAFP-fLRM: Accurate identification of antifungal peptides via hybrid deep learning architecture and multi-modal feature fusion.

Journal: Biophysical chemistry
Published: November 19, 2025

TBC-ac4C: Identification of N4-acetylcytidine sites by incorporating TCN and BiGRU based on multi-head cross-attention mechanism.

TBC-ac4C: Identification of N4-acetylcytidine sites by incorporating TCN and BiGRU based on multi-head cross-attention mechanism.

Journal: Computational biology and chemistry
Published: October 16, 2025

AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides.

AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides.

Journal: Interdisciplinary sciences, computational life sciences
Published: December 09, 2024

TransCNN: A novel architecture combining transformer and TextCNN for detecting N4-acetylcytidine sites in human mRNA.

TransCNN: A novel architecture combining transformer and TextCNN for detecting N4-acetylcytidine sites in human mRNA.

Journal: Analytical biochemistry
Published: November 25, 2024

HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides.

HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides.

Journal: Scientific reports
Published: July 03, 2024

A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning.

A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning.

Journal: Scientific reports
Published: May 24, 2024

Co-Mutations and Possible Variation Tendency of the Spike RBD and Membrane Protein in SARS-CoV-2 by Machine Learning.

Co-Mutations and Possible Variation Tendency of the Spike RBD and Membrane Protein in SARS-CoV-2 by Machine Learning.

Journal: International journal of molecular sciences
Published: March 23, 2024

EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides.

EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides.

Journal: Current medicinal chemistry
Published: October 17, 2023

iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network.

iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network.

Journal: Current medicinal chemistry
Published: September 30, 2023

TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites.

TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites.

Journal: Computational and structural biotechnology journal
Published: September 18, 2023
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Last Updated: 09/26/2026