Review of unsupervised pretraining strategies for molecules representation
In recent years, the computer-assisted techniques make a great progress in the field of drug
discovery. And, yet, the problem of limited labeled data problem is still challenging and also …
discovery. And, yet, the problem of limited labeled data problem is still challenging and also …
AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins
CRISPR-Cas, as a tool for gene editing, has received extensive attention in recent years.
Anti-CRISPR (Acr) proteins can inactivate the CRISPR-Cas defense system during …
Anti-CRISPR (Acr) proteins can inactivate the CRISPR-Cas defense system during …
Critical evaluation of web-based DNA N6-methyladenine site prediction tools
MM Hasan, W Shoombuatong, H Kurata… - Briefings in …, 2021 - academic.oup.com
Methylation of DNA N6-methyladenosine (6mA) is a type of epigenetic modification that
plays pivotal roles in various biological processes. The accurate genome-wide identification …
plays pivotal roles in various biological processes. The accurate genome-wide identification …
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
Abstract N6-methyladenosine (m 6 A) is a prevalent methylation modification and plays a
vital role in various biological processes, such as metabolism, mRNA processing, synthesis …
vital role in various biological processes, such as metabolism, mRNA processing, synthesis …
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Origins of replication sites (ORIs), which refers to the initiative locations of genomic DNA
replication, play essential roles in DNA replication process. Detection of ORIs' distribution in …
replication, play essential roles in DNA replication process. Detection of ORIs' distribution in …
Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings
H Zulfiqar, Z Guo, RM Ahmad, Z Ahmed, P Cai… - Frontiers in …, 2024 - frontiersin.org
Snake venom contains many toxic proteins that can destroy the circulatory system or
nervous system of prey. Studies have found that these snake venom proteins have the …
nervous system of prey. Studies have found that these snake venom proteins have the …
DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor
Z Xu, M Luo, W Lin, G Xue, P Wang, X Jin… - Briefings in …, 2021 - academic.oup.com
Accurate prediction of immunogenic peptide recognized by T cell receptor (TCR) can greatly
benefit vaccine development and cancer immunotherapy. However, identifying …
benefit vaccine development and cancer immunotherapy. However, identifying …
DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops
Abstract The protein Yin Yang 1 (YY1) could form dimers that facilitate the interaction
between active enhancers and promoter-proximal elements. YY1-mediated enhancer …
between active enhancers and promoter-proximal elements. YY1-mediated enhancer …
[HTML][HTML] Accurate identification of DNA replication origin by fusing epigenomics and chromatin interaction information
DNA replication initiation is a complex process involving various genetic and epigenomic
signatures. The correct identification of replication origins (ORIs) could provide important …
signatures. The correct identification of replication origins (ORIs) could provide important …
UMPred-FRL: A new approach for accurate prediction of umami peptides using feature representation learning
Umami ingredients have been identified as important factors in food seasoning and
production. Traditional experimental methods for characterizing peptides exhibiting umami …
production. Traditional experimental methods for characterizing peptides exhibiting umami …