Drug–target interaction prediction: databases, web servers and computational models
Identification of drug–target interactions is an important process in drug discovery. Although
high-throughput screening and other biological assays are becoming available …
high-throughput screening and other biological assays are becoming available …
Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data
E Wang, N Zaman, S Mcgee, JS Milanese… - Seminars in cancer …, 2015 - Elsevier
Tumor genome sequencing leads to documenting thousands of DNA mutations and other
genomic alterations. At present, these data cannot be analyzed adequately to aid in the …
genomic alterations. At present, these data cannot be analyzed adequately to aid in the …
KATZLDA: KATZ measure for the lncRNA-disease association prediction
X Chen - Scientific reports, 2015 - nature.com
Accumulating experimental studies have demonstrated important associations between
alterations and dysregulations of lncRNAs and the development and progression of various …
alterations and dysregulations of lncRNAs and the development and progression of various …
[HTML][HTML] IRWRLDA: improved random walk with restart for lncRNA-disease association prediction
In recent years, accumulating evidences have shown that the dysregulations of lncRNAs are
associated with a wide range of human diseases. It is necessary and feasible to analyze …
associated with a wide range of human diseases. It is necessary and feasible to analyze …
In silico polypharmacology of natural products
Natural products with polypharmacological profiles have demonstrated promise as novel
therapeutics for various complex diseases, including cancer. Currently, many gaps exist in …
therapeutics for various complex diseases, including cancer. Currently, many gaps exist in …
RKNNMDA: ranking-based KNN for MiRNA-disease association prediction
X Chen, QF Wu, GY Yan - RNA biology, 2017 - Taylor & Francis
Cumulative verified experimental studies have demonstrated that microRNAs (miRNAs)
could be closely related with the development and progression of human complex diseases …
could be closely related with the development and progression of human complex diseases …
DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph
K Shao, Y Zhang, Y Wen, Z Zhang… - Briefings in …, 2022 - academic.oup.com
Drug–target interaction (DTI) prediction plays an important role in drug repositioning, drug
discovery and drug design. However, due to the large size of the chemical and genomic …
discovery and drug design. However, due to the large size of the chemical and genomic …
Mathematical modeling and computational prediction of cancer drug resistance
Diverse forms of resistance to anticancer drugs can lead to the failure of chemotherapy.
Drug resistance is one of the most intractable issues for successfully treating cancer in …
Drug resistance is one of the most intractable issues for successfully treating cancer in …
Identification and construction of combinatory cancer hallmark–based gene signature sets to predict recurrence and chemotherapy benefit in stage II colorectal cancer
S Gao, C Tibiche, J Zou, N Zaman, M Trifiro… - JAMA …, 2016 - jamanetwork.com
Importance Decisions regarding adjuvant therapy in patients with stage II colorectal cancer
(CRC) have been among the most challenging and controversial in oncology over the past …
(CRC) have been among the most challenging and controversial in oncology over the past …
LRLSHMDA: Laplacian regularized least squares for human microbe–disease association prediction
An increasing number of evidences indicate microbes are implicated in human physiological
mechanisms, including complicated disease pathology. Some microbes have been …
mechanisms, including complicated disease pathology. Some microbes have been …