canSAR: update to the cancer translational research and drug discovery knowledgebase

Mitsopoulos, Costas; Micco, Patrizio Di; Fernandez, Eloy Villasclaras; Dolciami, Daniela; Holt, Esty; Mica, Ioan L; Coker, Elizabeth A.; Tym, Joseph E; Campbell, James; Hing, Ka; Özer, Buğra; Kannas, Christos; Antolín, Albert A.; Workman, Paul; Al‐Lazikani, Bissan

doi:10.1093/nar/gkaa1059

Cited by 75 publications

(70 citation statements)

References 36 publications

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“…In contrast, PPP6C is not a target of any known drug or compound but has a 94% likelihood that its protein has ligand properties based on its chemistry. 45 FURIN is the target of one approved drug, pirfenidone, which is indicated for treatment of idiopathic pulmonary fibrosis.…”

Section: Pharosmentioning

confidence: 99%

Multi-trait genome-wide association study of opioid addiction:OPRM1and Beyond

Gaddis

Mathur

Marks

et al. 2021

Preprint

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Opioid addiction (OA) has strong heritability, yet few genetic variant associations have been robustly identified. Only rs1799971, the A118G variant in OPRM1, has been identified as a genome-wide significant association with OA and independently replicated. We applied genomic structural equation modeling to conduct a GWAS of the new Genetics of Opioid Addiction Consortium (GENOA) data and published studies (Psychiatric Genomics Consortium, Million Veteran Program, and Partners Health), comprising 23,367 cases and effective sample size of 88,114 individuals of European ancestry. Genetic correlations among the various OA phenotypes were uniformly high (rg > 0.9). We observed the strongest evidence to date for OPRM1: lead SNP rs9478500 (p=2.56×10-9). Gene-based analyses identified novel genome-wide significant associations with PPP6C and FURIN. Variants within these loci appear to be pleiotropic for addiction and related traits.

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Section: Pharosmentioning

confidence: 99%

Multi-trait genome-wide association study of opioid addiction:OPRM1and Beyond

Gaddis

Mathur

Marks

et al. 2021

Preprint

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“…canSAR Black ( https://cansarblack.icr.ac.uk/ ) is an integrative translational research and drug discovery web resource for oncology. The mutation profile for MTUS1 provided by this database was searched for finding specific cancers linked to deleterious nsSNPs [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

In silico analysis of deleterious SNPs of human MTUS1 gene and their impacts on subsequent protein structure and function

2021

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The mitochondrial tumor suppressor 1 (MTUS1) gene acts as a crucial tumor suppressor by inhibiting growth and proliferation of eukaryotic cells including tumor cell lines. Down regulation of MTUS1 gene has been implicated in a wide range of cancers as well as various human diseases. Alteration through nsSNPs can potentially damage the structure and/or function of the protein. As characterization of functional SNPs in such disease linked genes is a major challenge, it is feasible to analyze putative functional SNPs prior to performing larger population studies. Hence, in this in silico study we differentiated the potentially harmful nsSNPs of the MTUS1 gene from the neutral ones by using various sequence and structure based bioinformatic tools. In a total of 215 nsSNPs, 9 were found to be most likely to exert deleterious effect using 7 prediction tools. From which, 5nsSNPs (S1259L, E960K, P503T, L1084V and L1143Q) were selected as potentially damaging due to their presence in the highly conserved region and ability to decrease protein stability. In fact, 2 nsSNPs (S1259L and E960K) among these 5 were found to be individually associated with two distinctive cancers named Stomach adenocarcinoma and Uterine corpus endometrial carcinoma. As this is the first comprehensive study analyzing the functional nsSNPs of MTUS1, the results of the current study would certainly be helpful in future prospects concerning large population-based studies as well as drug discovery, especially developing individualized medicine.

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“…Tools for data analysis and aggregation are invaluable in defining drug design strategies. Thus, the Institute of Cancer Research has repurposed its cancer data tool, CanSAR, 207 for coronavirus targets. CORD-19 15 represents an integrated textual data platform for COVID-19 research.…”

Section: The Importance Of Rigor In Computational and Experimental Approaches To Covid-19 Drug Discoverymentioning

confidence: 99%

A critical overview of computational approaches employed for COVID-19 drug discovery

Amaro²,

et al. 2021

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canSAR: update to the cancer translational research and drug discovery knowledgebase

Cited by 75 publications

References 36 publications

Multi-trait genome-wide association study of opioid addiction:OPRM1and Beyond

Multi-trait genome-wide association study of opioid addiction:OPRM1and Beyond

In silico analysis of deleterious SNPs of human MTUS1 gene and their impacts on subsequent protein structure and function

A critical overview of computational approaches employed for COVID-19 drug discovery

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