P9WNS7 Probable tRNA-dihydrouridine synthase MolNFT, Molecular NFT on GenesisL1

Probable tRNA-dihydrouridine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiamtqovhxwpmzdhqujv564ic44clhojwivp46kui2wmynta2hmutq/metadata.json

IPFS of structure file:

bafybeihuffdiyapxmzef2py6caykdvnqv5byvnxcp6u5adolxopkpbyeni/AF-P9WNS7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xB6926Ea66Df63FD8A4A5a32f9B661E4DE7e55427

First NFT owner address (bech32):

genesis1k6fxafnd7cla3f995vhekes7fhn724p8gkfrw0

Current NFT ID #107053 owner (web3):

0x6f7d7ecD2D5477c07662463b2369E9953067f93b

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
107053
Accession (UniProt):
P9WNS7
Name::
Probable tRNA-dihydrouridine synthase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P9WNS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WNS7|DUS_MYCTU Probable tRNA-dihydrouridine synthase OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=dus PE=1 SV=1 MSRRRAIQPSPALRIGPIELASPVVLAPMAGVTNVAFRALCRQLEQSKVGTVSGLYVCEMVTARALIERHPVTMHMTTFSADESPRSLQLYTVDPDTTYAAARMIAGEGLADHIDMNFGCPVPKVTKRGGGAALPFKRRLFGQIVAAAVRATEGTDIPVTVKFRIGIDDAHHTHLDAGRIAEAEGAAAVALHARTAAQRYSGTADWEQIARLKQHVRTIPVLGNGDIYDAGDALAMMSTTGCDGVVIGRGCLGRPWLFAELSAAFTGSPAPTPPTLGEVADIIRRHGTLLAAHFGEDKGMRDIRKHIAWYLHGFPAGSALRRALAMVKTFDELDCLLDRLDGTVPFPDSATGARGRQGSPARVALPDGWLTDPDDCRVPEGADAMGSGG

P9WNS7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P9WNS7 research and analysis (ICN3D with VR)

FASTA sequences

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