P25980 AF NFT

Nucleolar transcription factor 1-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmmdjw24rggm5rxvywlrr62ci4bthog7cy3n3ra4rkxdxnpnieg4/metadata.json
IPFS of structure file: 
bafybeifxocp2shf26dqb6pvpxndaeeqj3vykjpk2d4eq6symurfsqoip7m/AF-P25980-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x61E65F88ec27E6A5EcEACd71FeF1FE2264bb3e71
First NFT owner address (bech32): 
genesis1v8n9lz8vyln2tm82e4clau07yfjtk0n3atj0pz
Current NFT ID #485576 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
485576
Accession (UniProt):
P25980
Name::
Nucleolar transcription factor 1-B
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 P25980 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P25980|UBF1B_XENLA Nucleolar transcription factor 1-B OS=Xenopus laevis OX=8355 GN=ubtf-b PE=2 SV=1 MNGAAGGDTQGKMTAPKDQDQWSQEDMLTLLQTMKTLLPGQDNSKFKTTESHLDWNKLAFKHYSGSMCRQKWMEISNEVRKFRTLTELILDADEHVRHPYKGKKLKKHPEFPKKPLTPYFRFFMEKRAKYAKLHPEMSNLDLTKILSKKYKELPEKKKMKYIQDFQREKQDFERNMAKFREEHPDLMQNPKKSDVPEKPKTPQQLWYNHERKVYLKLHADASTKDIKDALGKQWSQLPDKKRLKWIHKALEQRKQYEGVMREYMQKHPELNITEEGITRSTLTKAERQLKDKFDGRPTKPPPNSYSMYCAELMANMKDVPSTERMVLCSQRWKLLSQKEKDAYHKKCEQRKKDYEVELMRFLENLPEEEQQRVLAEEKMVGMKRKRTNTPASKMATEDAAKVKSRSGQADKKKAAEERAKLPETPKTAEEIWQQSVIGDYLARFKNDRAKALKVMEATWLNMEKKEKIMWIKKAAEDQKRYERELSDMRSTPAPTTAGKKVKFLGEPKKAPMNGYQKFSQELLSNGELNHLPLKERMVEIGSRWHRISPTQKDYYKKLAEDQQRLYRTQFDTWMKGLSTQDRAAYKEQNTNKRKSTTKIQAPSSKSKLVIQSKSDDDEDDEDDEDEEDDDDDDDEDKEDSSEDGDSSDSSSDEDSEEGEENEDEEDEEDDDEDNEEDDDDNESGSSSSSSSSADSSDSDSN