C1MI97 AF NFT

RNA-splicing ligase RtcB homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiawpfijyb36cy3nv66ztmz2tkf7y6vgrgstrw7qblex6eygc7w6w4/metadata.json

IPFS of structure file:

bafybeicpij7t7ykpkuaolwquicmx66jl7tsixvt5vqklzgwjo2a4niirkm/AF-C1MI97-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9D7B50F95DEcF2b800b00D0aC632219403773eD8

First NFT owner address (bech32):

genesis1n4a4p72aanetsq9sp59vvv3pjsphw0kcz5lhts

Current NFT ID #415190 owner (web3):

0x14905748151782814d1AA807Ec0342Dd8879634b

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
415190
Accession (UniProt):
C1MI97
Name::
RNA-splicing ligase RtcB homolog
Experimental Method:
Predicted structure
Sequence source:
Micromonas pusilla (strain CCMP1545)

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 C1MI97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1MI97|RTCB_MICPC RNA-splicing ligase RtcB homolog OS=Micromonas pusilla (strain CCMP1545) OX=564608 GN=MICPUCDRAFT_24370 PE=3 SV=1 MAPRRTYQQEMAFLSRVSANQWIVNEGFVPNMRVPGTFYVNKHLETLMFEELQQHVDSGGHGGFLPAVKQLANVACLPGIVGKSIAMPDVHSGYGFCIGNVAAFDMSDPAAVVSPGGVGFDINCGVRVVRTNLMESDVADVKEKLAQALFDHIPVGVGSQGIIPTSAAGLESALEMGMDWSLREGYAWAEDKEHCEEYGRMLTADPNKVSARAKKRGLPQMGTLGAGNHYAEIQVVDEIFDAHAAEKMGVDAVGQVMVMIHSGSRGLGHQVATDALTEMERAMARDGIETNDRQLACARINSTEGQNYLSAMSCAANYAWVNRSSMTFLCRQAFAKMFDSTPDDLDMHVVYDVSHNIAKIEEHMVDGKLKTLLVHRKGSTRAFPPHHPLIPVDYQYTGQPVMIGGTMGTCSYILTGTQKGMDETFGSTCHGAGRARSRNNSRNKLDYAEVLENLKTKGISIRVASPKLVMEEAPESYKDVTEVVNTCHDAGISKKAVKLRPIAVVKG

MOLNFT AF v1_w

NFT data

MOLNFT C1MI97 research and analysis (ICN3D with VR)

FASTA sequences

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