Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Gaussian interaction profile"'
Autor:
Haiyan Liu, Pingping Bing, Meijun Zhang, Geng Tian, Jun Ma, Haigang Li, Meihua Bao, Kunhui He, Jianjun He, Binsheng He, Jialiang Yang
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 1414-1423 (2023)
Identifying the potential associations between microbes and diseases is the first step for revealing the pathological mechanisms of microbe-associated diseases. However, traditional culture-based microbial experiments are expensive and time-consuming
Externí odkaz:
https://doaj.org/article/9fac48040b8e450192f4af0f6a5f860a
Autor:
Li Wang, Cheng Zhong
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-24 (2022)
Abstract Background Long non-coding RNAs (lncRNAs) are related to human diseases by regulating gene expression. Identifying lncRNA-disease associations (LDAs) will contribute to diagnose, treatment, and prognosis of diseases. However, the identificat
Externí odkaz:
https://doaj.org/article/4446e903c7954cd4bb6c409ef51e2dee
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-16 (2021)
Abstract Background With the rapid development of various advanced biotechnologies, researchers in related fields have realized that microRNAs (miRNAs) play critical roles in many serious human diseases. However, experimental identification of new mi
Externí odkaz:
https://doaj.org/article/06795340c3f240aa8b3c389c1767cb02
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7419-7439 (2021)
The development of new drugs is a time-consuming and labor-intensive process. Therefore, researchers use computational methods to explore other therapeutic effects of existing drugs, and drug-disease association prediction is an important branch of i
Externí odkaz:
https://doaj.org/article/029eeab8870949b59f8b66cf9f166132
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-15 (2021)
Abstract Background Drug repositioning, meanings finding new uses for existing drugs, which can accelerate the processing of new drugs research and development. Various computational methods have been presented to predict novel drug–disease associa
Externí odkaz:
https://doaj.org/article/a5ae63f7628d466399b44667a1a35676
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-18 (2021)
Abstract Background In the development of science and technology, there are increasing evidences that there are some associations between lncRNAs and human diseases. Therefore, finding these associations between them will have a huge impact on our tr
Externí odkaz:
https://doaj.org/article/255ed18a27e54a2abe03e5bca138a64d
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S16, Pp 1-10 (2019)
Abstract Background Viruses are closely related to bacteria and human diseases. It is of great significance to predict associations between viruses and hosts for understanding the dynamics and complex functional networks in microbial community. With
Externí odkaz:
https://doaj.org/article/0dd975ae58114a7fa32792f285598666
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S23, Pp 1-9 (2019)
Abstract Background Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor inter
Externí odkaz:
https://doaj.org/article/b1dd3ca365414767ac9819f286db7fb8
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S15, Pp 1-10 (2019)
Abstract Background A drug-drug interaction (DDI) is defined as a drug effect modified by another drug, which is very common in treating complex diseases such as cancer. Many studies have evidenced that some DDIs could be an increase or a decrease of
Externí odkaz:
https://doaj.org/article/497af112c620414ab07e5f1c041b8c7f
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Predicting meaningful miRNA-disease associations (MDAs) is costly. Therefore, an increasing number of researchers are beginning to focus on methods to predict potential MDAs. Thus, prediction methods with improved accuracy are und
Externí odkaz:
https://doaj.org/article/4a95cb8d887b48f8b53f7121c4f6ed43