FAIR Peptide data nsi: Ntuziaka MAOMAO maka Ntugharị

Kedu ihe bụ MAOMAO na ihe kpatara FAIR Peptide Toxicity Data ji dị mkpa?

MAOMAO na-anọchi anya Metadata-Aware Ontology for Multi-source Annotation Organization, akụrụngwa na-eduzi ontology nke na-adakọba ozi nsi peptide ewepụtara na ọdụ data ọha, akụrụngwa ewepụtara n'akwụkwọ na ihe ndekọ data echekwara (akwụkwọ ntọhapụ MAOMAO, 2026). Ọ bụghị otu nchekwa data nwere otu elu. Ntọhapụ mbụ ya jikọtara 56 isi mmalite, na-agbasa ọdụ data ọha, akụrụngwa ewepụtara n'akwụkwọ, nchịkọta data mgbakwunye na ebe nchekwa ejiri aka chịkọta ya (otu akwụkwọ), ma na-ejikọta ha n'ime 71,857 usoro peptide pụrụ iche gafere ebe njedebe asatọ metụtara nsị. The Core Layer na-ejide 574,856 Ngwakọta peptide-ngwụsị kwadoro maka usoro ndị ahụ. Ọchụchọ gara na Google Ọkà mmụta na PubMed n'etiti June 2025 na Septemba 2026, yabụ ntọhapụ a na-egosipụta akụrụngwa dị na Septemba 2026. Ọnụọgụ nke ụdị a dịgasị iche iche site na isi mmalite na ụbọchị nhazi, na ndekọ otu-elu n'ime ntọhapụ na-ebu naanị ibu nke elu ahụ.

Ọrụ

Data toxicity FAIR peptide pụtara ihe dị warara karịa "data ahaziri nke ọma." Ọ pụtara ndekọ nsi na-ebu ihe njirimara na-adịgide adịgide, metadata nke ọma na ikike ekwuputara, ya mere onye na-agụ nwere ike ịchọpụta ebe nkwuputa ahụ sitere na n'okpuru ọnọdụ ndị enwere ike ijikwa ya ọzọ.

Ihe atụ: ndekọ bụ ntinye akwụkwọ ndetu ụlọ nyocha, ọ bụghị ikpe

Mesoo nkọwa nsi dị ka ị ga-esi emeso ntinye akwụkwọ ndetu akara ngosi. Ọ na-edekọ ndị hụrụ mmetụta ahụ, mgbe ole, kedu isi iyi, nke organism, na n'okpuru nke na-egosi na-ekwu. Ọ naghị egosi na usoro adịghị mma. Ọdịiche ahụ na-akpụzi mkpebi ọ bụla dị na ntuziaka a, n'ihi na ndekọ na-agwa gị ihe a na-ekwu na otú e si ede ya nke ọma, ọbụghị ihe ị gosipụtara gbasara onye ndoro-ndoro ochichi nke gi.

Ihe FAIR chọrọ n'ezie maka ndekọ nsi

Acronym na-ezochi ihe ndị chọrọ ọrụ. Nke ụkpụrụ FAIR mbụ (Wilkinson et al., Data sayensị, 2016) na nke Gaa nleba anya ezipụta na data na-ebu ihe nchọpụta na-adịgide adịgide (F1), na metadata bara ọgaranya (F2) ma gụnye ihe nchọpụta nke data ha na-akọwa (F3), na provenance a zuru ezu (R1.2), na ndekọ ahụ na-agbaso ụkpụrụ obodo metụtara ngalaba (R1.3), na nke ahụ doro anya, a ga-ekwupụta ikike iji nweta ya (R1.1).

Ogige ndị MAOMAO jikọtara ọnụ bụ mmejuputa atumatu: ihe nchọpụta isi mmalite, ntụnyere akwụkwọ, ozi organism, nkọwa nkọwa, ụbọchị eweghachi, Ụdị faịlụ na ozi ụdị ebe ọ dị, na usoro ọ bụla ahaziri ahazi nke ejiri ihe nchọpụta SHA-256 nwere akara n'elu mkpụrụedemede ukwu, usoro enweghị oghere ọcha. Na-ebufe faịlụ dị ka CSV, JSON na YAML.

Ntugharị igodo: Ihe ndekọ nke toxicity echekwabara bụ nkwupụta nke stampụ pụtara, ọ bụghị ikpe nchekwa.

Ihe kpatara achọpụtara metadata Peptide toxicity na-agbanwe Triage Candidate

Achọpụtara peptide toxicity metadata na-agbanwe triage nwa afọ nke peptide n'ihi na ọ na-enye gị ohere inyocha ike nke ihe akaebe dị n'okpuru kama ịnọ n'ihu akara.. Ebe nchekwa data na-echekwa naanị "nsi" ma ọ bụ "adịghị egbu egbu" na-adaba nleba anya dị iche iche n'otu mpaghara. MAOMAO kewapụrụ ha. Ihe akaebe ya na-akọwa ọdịiche dị mma, adịghị mma, ihe mgbagwoju anya, enweghị akara na enweghị ozi ndekọ, na ọnọdụ ọjọọ na-ekewa n'ihu: akwadoro ihe ọjọọ ndị siri ike n'ụzọ doro anya site na akaebe nnwale, ebe adịghị ike adịghị ike sitere na usoro ọjọọ ahọpụtara na-enweghị usoro ma ọ bụ enweghị nkwenye nke enweghị nkọwa nkọwa nsi. (akwụkwọ ntọhapụ MAOMAO, 2026).

Nkesa na-egosi ihe mere ọdịiche ahụ ji ebu ibu. N'ofe ntọhapụ, MAOMAO na-akọ 31,153 nti, 91,506 adịghị mma, 15,717 ihe mgbagwoju anya na 5,044 steeti enweghị akara (Akwụkwọ MAOMAO n'onwe ya nke ihe akaebe ya kwuru, ewepụtara 2026-07-30). Ịwụ adịghị mma fọrọ nke nta ka ọ bụrụ okpukpu atọ dị mma, ya mere, usoro nke na-emeso adịghị mma ọ bụla dị ka mkpochapụ anaghị enyocha ihe akaebe. Ọ na-enyocha olu.

Ịgụ otu ndekọ na ikpebi ihe ọ na-egosi

Were ndekọ na-ebu nkọwa echere na-enweghị ihe ọ bụla gbasara nyocha. Labelụ na-ekwu adịghị mma. Provenance na-ekwu na oku a tụlere kama ịtụtụrụ, na enweghị njedebe, A na-edekọ usoro ntinye uche ma ọ bụ nyocha n'akụkụ ya. N'oge ahụ ndekọ ahụ azaghị "usoro a ọ dị mma ịga n'ihu." Ọ na-aza “enwela onye ọ bụla ebipụtala nlebanya nsi nsi n'usoro maka usoro a,” na azịza ya bụ ee e.

Nke ahụ bụ isi mkpebi. Usoro ntọt nke e wuru na ọnụnọ nke akara na-agafe onye ndoro-ndoro anya. Iwu ewuru n'ihe akaebe na-eduga ya n'ụzọ doro anya ma ọ bụ enweghị akara, ebe ọ chọrọ ma ọ bụ nlele akwụkwọ ma ọ bụ nyocha tupu ọ nweta ohere na ndepụta nhọrọ. Iwu nke abụọ na-akwụ ụgwọ karịa maka onye ọ bụla ma na-ewepụta ndepụta nhọrọ ị nwere ike ịgbachitere.

Otu mgbagha na-emetụta mgbe isi mmalite abụọ ekwenyeghị na akara njedebe maka otu usoro. Ndekọ edekọtara anaghị ahọpụta onye mmeri na nzuzo. Ọ na-ejide nkọwa abụọ ahụ na ihe ngosi ha, na esemokwu ahụ n'onwe ya na-aghọ ihe mgbaàmà na usoro ahụ chọrọ nyocha nyocha na nyocha nke ndu karịa mkpebi nchekwa data..

Ebe ihe akaebe na-agwụ

Mkpuchi njedebe adịghị n'usoro, na oghere ahụ bụ ihe owuwu karịa ka ọ dị na mberede. MAOMAO na-ekwu na mkpuchi na-adabere na akaebe ọkwa ọkwa nke eweghachitere, nke na-emepụta ahaghị nhata klaasị na oke nnọchite anya nke Cytolysis, Embryotoxic na ichthyotoxic njedebe (akwụkwọ ntọhapụ MAOMAO, 2026). Ọnụ ọgụgụ ahụ na-eme ka ihe dị nro dị nro: Embryotoxic na-ebu 2 Ọnọdụ dị mma na ichthyotoxic 5, mgbe cytolysis na-ejide 343 na-ekwu na mkpokọta. Tulee nke ahụ na mgbọrọgwụ nsi na 57,080 na-ekwu na 13,824 nti, ma ọ bụ Hemolytic 35,960 na-ekwu na 4,714 nti.

N'ihi na a triage iwu, nke a pụtara enweghị nkọwa n'ebe dị mkpa abụghị ihe akaebe nke enweghị. Ọ pụtara na adịkarịghị edekọ njedebe. A na-enyocha ndepụta nhọrọ na Embryotoxic ma ọ bụ Ichthyotoxic data na ọ fọrọ nke nta ka ọ bụrụ ihe ọ bụla, na ihe na-eme ihe n'eziokwu bụ ikwu otú ahụ tupu onye nyocha ahụ eruo mkpebi mmemme.

Ikikere bụ oke nke abụọ. Ọdịnaya nkọwa na ụbọchị emelitere ikpeazụ dị maka 55 nke 56 isi mmalite, mana naanị mkpuchi ikike ikike doro anya 15 nke 56 (Akwụkwọ MAOMAO n'onwe ya nke ihe akaebe ya kwuru, ewepụtara 2026-07-30). Tinyegharịa usoro maka mkpa fọdụrụnụ ịlele na isi mmalite, echereghị site na mkpokọta.

Ntugharị igodo： Ihe na-adịghị mma abụghị otu ihe. Nleba anya na ọnọdụ ihe akaebe na ihe ngosi, Ụlọ ahịa ọ bụghị na akara ọnụnọ, ma na-ewere ebe njedebe dị mkpa dị ka ihe na-enweghị atụ kama ịdị ọcha.

Steeti nrịbama Peptide na Ogige Mmepụta, Ubi site na Ubi

A na-enyocha ndekọ nsí peptide mgbe ihe abụọ pụtara ìhè: kedu ihe akaebe bụ, na ebe ndekọ ahụ sitere. MAOMAO na-arụ ọrụ abụọ ahụ. Ontology nwere klas mgbọrọgwụ, Nsi, na klas nke mbụ cytotoxic, Neurotoxic, Embrayotoxic, na ichthyotoxic, Cytotoxic na-ebu subclass hemolytic, Cytolysis, na sel mgbochi mammalian (MAOMAO akwụkwọ ntọhapụ, 2026). Jiri nlezianya gụọ mkpokọta ngalaba: mgbọrọgwụ Toxic overlaps subclass agụta, ya mere nchikota alaka ga-akarị mgbọrọgwụ, mmachi ndetu usoro akwụkwọ ahụ na-ekwu ozugbo.

A na-ejikwa njirimara site na iji SHA-256 jiri usoro nnukwu akpakọba nke ọma, nke na-enye otu usoro ahụ otu igodo n'ofe ọkwa na isi mmalite. Na-ebufe ụgbọ mmiri dị ka CSV, JSON, ma ọ bụ YAML.

Ihe akaebe-okwu okwu na omume

Steeti ọ bụla na-aza ajụjụ dị iche maka mmemme. Nke dị mma: enwere ihe akaebe nsi na-akwado ma ọ bụ ndị isi? Ihe ọjọọ: enwere kpọmkwem, njedebe-kpọmkwem ihe akaebe na-adịghị egbu egbu? Ihe mgbagwoju anya: bụ nkọwa na-emegiderịta onwe ya ma ọ bụ edozighi ya? Enweghị akara: ka edobere usoro ahụ na-enweghị ọrụ klaasị doro anya? Enweghị ozi: is there simply no evidence for this endpoint? (MAOMAO akwụkwọ ntọhapụ, 2026). Treat these as documentation of what the source said, not as a safety determination.

Oghere ihe ngosi nke na-eme ndekọ ndekọ

MAOMAO’s harmonized fields let a reviewer check a claim without opening the original source. Source identifier and literature reference satisfy Findable and traceable attribution. Organism and annotation provenance satisfy Reusable context. Retrieval date and version satisfy Accessible currency. File format supports Interoperable exchange. Ihe gbasara

Licensing is the honest gap. The paper states no unified dataset license in its main text, reports source-level licensing coverage of 15 nke 56 isi mmalite, and places licensing information and versioning records in the Documentation Layer (MAOMAO akwụkwọ ntọhapụ, 2026). Check source-level terms before reuse in a regulated workflow.

Kedu ka data ziri ezi Peptide si etinye n'ime atụmatụ nyocha na mkpesa

Metadata peptide toxicity echekwabara na-agwa gị nkwenye orthogonal nke ga-esote; ọ naghị agwa gị onye ndoro-ndoro ochichi adịghị mma. Oke ahụ bụ akụkụ dum nke oyi akwa. Ndekọ nchekwa data na-achịkọta ihe onye ọzọ hụrụ n'okpuru ọnọdụ ekwuputara, ebe nchekwa egosipụtara dabere na nyocha orthogonal na nyocha ihe ndụ emere n'ihe gị: HPLC ịdị ọcha, njirimara MS, steeti counterion, endotoxin sitere na LAL, ịmụ nwa, na nyocha ndu usoro ihe omume gị chọrọ. Nnwale ọ bụla na-aza ajụjụ dị warara. LAL na-enyocha naanị ibu endotoxin, ọ bụghị ịmụ nwa ma ọ bụ ịdị ọcha kemịkal, na counterion mass abụghị ihe efu, ebe TFA nnu nwere ike na-anọchi anya roughly 5% ka 25% nke siri ike uka na ihe fọduru TFA nwere ike imebi akpụkpọ ahụ na nyocha nyocha nke nnabata (counterion na orthogonal-ule akwụkwọ, 2020-12-03).

Maka ndụmọdụ: Maapụ ejighị n'aka nke ọ bụla fọdụrụ na ule orthogonal akọwapụtara nke na-edozi ya tupu ịme oge nyocha.

Site na ndepụta nkenke ruo na atụmatụ nyocha

Na-arụ ọrụ site na listi mkpirisi ihe nzacha steeti gị mepụtara, wee gbanwee ajụjụ ọ bụla mepere emepe ka ọ bụrụ ule na iwu mkpebi.

1. njirimara na ịdị ọcha. Ọ bụrụ na ndekọ ahụ na-ebu nkọwapụta echepụtara na-enweghị ọnọdụ nyocha, kwadoro njirimara molecular site na MS yana ịdị ọcha chromatographic site na HPLC n'okpuru usoro akọwapụtara. Kpebie onye anamachọihe ma ọ bụrụ na njirimara na ịdị ọcha dabara na nkọwapụta gị.

2. Steeti Counterion. Ebe ndekọ na-edepụta ụdị nnu na-enweghị ọnụọgụ, tụọ ya. Nsonaazụ mgbochi nke na-agbanwe dose dị irè ma ọ bụ na-akpaghasị nyocha nnabata na-agbanwe nkọwa nke ihe niile dị n'okpuru.

3. Endotoxin. Tọọ oke site na oke njedebe endotoxin, K/M, na K = 5 USP-EU/kg maka ụzọ ndị ọzọ karịa intrathecal na K = 0.2 USP-EU/kg maka intrathecal, ebe M bụ ọnụọgụ mmadụ kacha akwadoro kwa kilogram n'otu elekere (USP <85> Nnwale Endotoxins nke nje).

4. Ịgba nwa. Gosipụta enweghị microorganisms nwere ike ime n'okpuru ọnọdụ ule, nke n'okpuru USP <71> pụtara inoculation n'ime usoro mgbasa ozi akọwapụtara na ntinye ụbọchị iri na anọ (I Q2(R2), 2023-11-30).

5. Nkwenye ndu. Naanị mgbe edozichara oyi akwa nyocha ka ị ga-agụ akara nsi dị ka ihe onwunwe nke onye ndoro-ndoro ochichi kama ịbụ nke nlele..

Akwụkwọ na-adịgide ndụ nyocha

Nsonaazụ ọ bụla dị n'elu ga-abụ nke a ga-azaghachi ma emechaa, na metadata oyi akwa bụ ebe na-amalite. Ụlọ ọrụ MHRA 2018 Ntuzi aka iguzosi ike n'ezi ihe GxP na-akọwa ALCOA dị ka ihe nwere ike ime, ziri ezi, dịkọrọ ndụ, mbụ, na ezi, na ALCOA+ na-agbakwụnye zuru ezu, na-agbanwe agbanwe, na-atachi obi, na dị (MHRA, Ntuzi aka na iguzosi ike n'ezi ihe data GxP, 2018-03-09). Ebe a na-ahụ anya na-esetịpụ na njirimara ndị ahụ ozugbo: ihe nchọpụta isi mmalite na ụbọchị nrụpụta na-eme ka ndekọ nwere ike ịpụta na nke dị ugbu a, ubi ihe nleba anya na-eme ka ọ zuo oke, na njikọ ndekọ kwụsiri ike na-eme ka ọ dị. Atụmanya nkwado na-aga n'otu n'otu, kemgbe m Q2(R2)Ụkpụrụ dabara adaba maka ebumnuche chọrọ ịdekọ na usoro dabara na ebumnuche ya, ọ bụghị naanị na ọ gbara ọsọ (I Q2(R2), 2026-02-20).

Otu oyi akwa metadata FAIR na-akwado usoro ọrụ a n'ime ntakịrị, uzo ozo. Enwere ike iji ya buo steeti akaebe na mpaghara pronance site na ngwa ngwa n'ime ndekọ ọkwa CoA na-enweghị idegharịgharị., ọ na-enyere aka idobe nsonaazụ nyocha, usoro eji, na akụkọ ndekọta ha jikọtara ya na otu agbụ ígwè nwere ike ịchọpụta. A na-ewu MOL Mgbanwe gburugburu akwụkwọ ahụ yana oyi akwa nkwenye nyocha, gụnyere HPLC/MS na ule ọmụmụ na klaasị 100 imeputa adịghị ike. Nsonaazụ bara uru bụ na nchekwa data anaghị eguzobe maka nnwale gị; Ọ na-ekpebi ule ị ga-eji, ma ọ na-enye ụzọ nyocha nke na-egosi na ị na-agba ya.

Ụdị benchmarking na amụma amụma Ewuru na metadata toxicity Peptide

Ihe oyi akwa benchmark MAOMAO dị ka enwere ike iji arụ ọrụ ihe atụ atụnyere n'ụkwụ nkekọrịta karịa na nkewa nke akwụkwọ ọ bụla.. Ọ na-akọwa 300 nhazi njedebe-mkpụrụ-atụ, 1,500 nkebi data, 3,300 nnochi anya-kpọmkwem nhazi na 16,500 mpịakọta atụ, sitere na 5 njedebe njedebe Peptides sịntetik × 30 mkpụrụ osisi enweghị usoro × nkewa nke okpukpu ise × 11 ihe nnọchianya (MAOMAO, Frontiers na Pharmacology, 2026). Akụkụ nnọchite anya doro anya: 10 Protein-asụsụ-ihe nlereanya agbakwunyere matrices gbakwunyere ihe nnọchianya na-ekpo ọkụ na-ekpuchi ihe niile 71,857 usoro, n'akụkụ ihe nkọwa oyi akwa nke 41 atụmatụ (MAOMAO, 2026).

Mmachi dị mkpa dị ka ọnụ ọgụgụ. Nkebi ndị ahụ eburu ụzọ kọwaa na-eji nkewa na-enweghị usoro na nke dabara adaba na ha abụghị homology- ma ọ bụ myirịta-achịkwa, n'ihi ya, a naghị achịkwa mmiri ozuzo. Akara dị elu na benchmark a na-agwa gị ihe nlereanya na-ekewa metadata peptide toxicity nke a zụrụ azụ na ya.. Ọ gwabeghị gị ihe nlereanya a na-ebufe n'ụlọ ebe a na-ahụbeghị ya.

Ịgụ amụma-ihe nlere anya site n'ịgba egwu ziri ezi

Ndị amụma toxicity peptide ebipụtara na-akọ ọnụ ọgụgụ siri ike, na nọmba ọ bụla na-ebu oke nke ya. ToxiPep zụrụ azụ 3,528 nsi na 3,528 peptides na-adịghị egbu egbu akọrọ na CD-HIT 0.9, nwalere na 883 gbakwunyere 883, ma kọwapụta izi ezi 0.850, uche 0.827, nkọwapụta 0.873, MCC 0.701 na ToxiPep kọrọ 0.92 AUC (2025). ToxGIN nwale onwe ya AUROC nke 0.9172 wee jiri F1 nke 0.8354 na MCC nke 0.6866 (Nkọwa na Bioinformatics, 2024). PeptiVerse gbakọtara 5,518 nsi na 5,518 peptides na-adịghị egbu egbu, ma PeptiVerse ketara akara nsi ya site na ToxinPred3.0 kama site na nyocha (2026).

Amaokwu abụọ na-esochi. Mbụ, ndị a bụ nsonaazụ nke usoro nke onye na-ere ahịa, nyochaa site na otu ndị wuru ụdị. Nke abụọ, kpuchiri ngalaba itinye n'ọrụ site na owuwu: CD-HIT nke ToxiPep 0.9 nzacha pụtara na nkwupụta ya na-ejide usoro dịka data ọzụzụ ya, Ọ bụghị maka kemịkalụ akwụkwọ ọgụgụ aka ike. PeptiVerse jikọtara nke a, n’ihi na akara e ketara n’aka amụma na-ebuga njehie onye amụma ahụ gaa n’ihu.

Kedu ihe nrịbama nke na-achịkwa ntapu ga-agbanwe

Ọ bụrụ na ị na-ekpebi ma ị ga-atụkwasị ihe nlereanya na scaffold akwụkwọ akụkọ, nkewa ahụ bụ nkwupụta. Homology- ma ọ bụ nkewa na-achịkwa myirịta na-ejide usoro nke oyiri nso na ọzụzụ, yabụ akara ule na-egosipụta extrapolation kama iburu ndị ikwu ya n'isi. Nkewa na enweghị usoro enweghị ike ịmata ọdịiche abụọ ahụ, nke mere a 0.92 AUC na a random gbawara na a 0.92 AUC na nkewa na-achịkwa homology pụtara ihe dị iche iche maka mmemme gị.

Ọgụgụ bara uru: na-emeso ọnụọgụ metadata peptide toxicity ebipụtara dị ka ihe akaebe nke ịkpa oke n'ime, ọ bụghị dị ka nkwa mbufe. Tupu ihe nlereanya agwa njikọ ma ọ bụ mkpebi nnwale, lelee ma nyocha ya na-achịkwa maka myirịta usoro, ma kwado ebe njedebe na nyocha nyocha n'azụ akara ya. Ebe njikwa ahụ adịghị, akara bụ mmalite echiche maka orthogonal analytical na biological test, ọ bụghị ihe nnọchi anya ya.

Echiche ụgha ndị a na-ahụkarị gbasara ọdụ data Peptide toxicity

Njehie a na-ahụkarị bụ ịgwọ akara nchekwa data dị ka mkpebi nchekwa. Akara akara na-edekọ ihe a hụrụ, kedu usoro, n'okpuru ọnọdụ; ọ naghị akwado na usoro adịghị mma ịga n'ihu.

Echiche ezighi ezi nke mbụ bụ na akara na-adịghị mma pụtara adịghị egbu egbu. Ihe ọjọọ abụghị otu ihe. Ihe ọjọọ siri ike na-adabere na nyocha edepụtara nke nwere njedebe njedebe na oke itinye uche; adịghị ike na-adịghị ike nwere ike igosi usoro a na-anwalebeghị, Nsonaazụ enweghị akụkọ, ma ọ bụ nyocha nke na-enweghị ike ịchọpụta mmetụta. Usoro nke na-adaba abụọ n'ime otu ọkọlọtọ "dị ọcha" bụ ọnọdụ ọdịda.

Nke abụọ bụ na ọtụtụ isi mmalite pụtara inwekwu obi ike. Ọnụọgụ isi mmalite na nnwere onwe pụtara ìhè dị iche iche. Mkpokọta buru ibu ka nwere ike ị nwetaghachi azụ na otu ndị enyemaka dị elu, ya mere obosara nkwado pụtara dị warara karịa ọnụọgụgụ na-atụ aro.

Nke atọ bụ na akara ngosi na-enyefe n'usoro ọhụụ. Ụdị amụma na-ebu ngalaba ọdabara, na akara agbakọrọ na mpụga ya bụ extrapolation, ọ bụghị nha.

Nke anọ bụ na data emekọrịtara ọnụ na-ewepụ mkpa maka ule orthogonal. Nkwekọrịta na-eme ka ndekọ atụnyere; ọ naghị eme ka ha zuo oke. Mkpebi maka nchekwa peptide ka chọrọ ikpe ọkachamara tozuru oke yana nyocha nyocha na usoro ndu.

Ịdọ aka ná ntị: akara na-adịghị mma abụghị otu ihe. Ihe ọjọọ siri ike na nke na-adịghị ike na-ebu ibu ngosi dị iche iche, na a triage iwu na-emeso ha dị ka otu ihe bụ ọdịda mode.

Otu n'ime ihe kpatara akụkụ na-adịghị mma ji arụ ọrụ dị gịrịgịrị bụ nhụsianya mbipụta toxicology, tụrụ dị ka uru mbipụta 3.3 maka nchoputa dị mma, na nsonaazụ dị mma na-esiwanye ike na-ebili 50% ka 90% n'etiti 1991 na 2007 (Bero et al., ihe ize ndụ-nke-eleghị anya n'ihu, 2016, na-ekpuchi windo 1991-2007). Ihe ndekọ data ewepụtara na-eketa asymmetry ahụ.

Gịnị mere na-abụghị ọgwụ toxicology attrition na-eme nke a mkpebi, ọ bụghị ọchịchọ ịmata ihe

Ihe ndị a na-akpata bụ ihe kpatara peptide onye ndoro-ndoro anya triage kwesịrị inweta ọkwa nlekọta a kama ịchọọ nchekwa data ngwa ngwa. Na nyocha nke ụlọ ọrụ anọ, toxicology na-abụghị nke ụlọ ọgwụ gbakọtara 40% nke nchupu, kacha otu ihe kpatara ya, gafee erughị ala 605 akwụsịla ogige sitere na AstraZeneca, Eli Lilly, GSK na Pfizer n'etiti 2000 na 2010 (Waring et al., Nature Nyochaa Nchọpụta ọgwụ ọjọọ, 2015).

Nyocha gbasara ọgwụ na-erute otu usoro nke ịdị ukwuu, na-etinye nsi n'ihe dị ka otu ụzọ n'ụzọ atọ nke mwepu nke onye nyocha ọgwụ na ịkọ ọkwa ọdịda nchekwa nke ụlọ ọgwụ na mmepe nke ụlọ ọgwụ. 35% site na nkeji 1 nrubeisi na 28% site na nkeji 2 nrubeisi (Karnes et al., 2010). Isi mmalite abụọ a na-ejikọta n'otu nkwubi okwu site na nlele na usoro dị iche iche, nke na-ewusi mgbama ahụ ike n'emeghị ka ha nwee atụmatụ nnwere onwe zuru oke.

Na-amalite na FAIR Peptide toxicity Data

Ihe mbụ ị ga-eme bụ ịdọrọ otu usoro onye ndoro-ndoro anya wee gụọ njedebe ndekọ ya ruo na njedebe tupu ịme ihe ọ bụla. Otu ngafe ahụ na-agwa gị ihe ndekọ ahụ kwadoro na ihe ọ na-adịghị.

Nzọụkwụ 1: Kpebie usoro ahụ wee gụọ ndekọ ahụ. Kpebie usoro ahụ na njirimara njirimara ya, wee gụọ ihe akaebe steeti na mpaghara provenance agbakwunyere na ya. Emebere mpaghara MAOMAO kwekọrịtara maka otu ngafe a: ihe nchọpụta SHA-256 na-ejikọta ntinye na otu usoro, na mpaghara provenance na-ekwu ebe nha n'okpuru si. Ọ bụrụ na ubi tọgbọ chakoo, were ya dị ka ozi, ọ bụghị dị ka oghere iji mejupụta site n'echiche.

Nzọụkwụ 2: Hazie ejighị n'aka nke ọ bụla wee kenye ule. Hazie ihe ị hụrụ ka ọ bụrụ ejighị n'aka nyocha yana ejighị n'aka nke usoro ndu, wee kpọọ ule orthogonal nke na-edozi nke ọ bụla. Nnwale nyocha nke orthogonal na nke ndụ pụtara na usoro nke abụọ anaghị eso ụdị ọdịda nke mbụ, ya mere nkwekọrịta dị n'etiti ha na-ebu ibu ka ịgba ọsọ ọzọ ghara.

Nzọụkwụ 3: Dekọọ nsonaazụ ya ka ọ nọgide na-enwe ike iji ya mee ihe. Dee nsonaazụ ya megide atụmatụ ALCOA+ nkọwapụta MHRA ALCOA: ekenyenede, ziri ezi, dịkọrọ ndụ, mbụ, ziri ezi, gbakwunyere zuru oke, na-agbanwe agbanwe, na-adịgide adịgide ma dịnụ. Enwere ike ijikwa nsonaazụ e dekọrọ n'ụzọ dị otu a na mmemme na-esote kama ewepụtara ya ọzọ.

Igwe metadata bụ mmalite, ọ bụghị ihe nnọchi maka ule. Ọ na-agwa gị nnwale ị ga-agba na-esote; naanị nnwale na-agwa gị ihe peptide na-eme.

Ajụjụ a na-ajụkarị

Kedu ihe MAOMAO pụtara, na gịnị ka ọ na-ejikọta?

MAOMAO bụ akụ peptide achọpụtara na-eweta ndekọ usoro, onodu nyocha na metadata provenance n'ime otu oyi akwa jikọtara FAIR, ya mere akara nsi na-abịarute na ọnọdụ ndị mepụtara ya karịa ka ọkọlọtọ efu. Isi njikọ dị mkpa karịa okwu mkpọ okwu: usoro, njedebe, usoro nyocha na ụbọchị curation na-eme njem ọnụ.

akara nsi na-adịghị mma ọ pụtara na peptide adịghị mma?

Mba. Akara na-adịghị mma pụtara na ndekọ echekwabara enweghị akara nsi maka ọnọdụ anwalela, nke bụ nkwupụta gbasara ihe akaebe, ọ bụghị banyere molekul. Enweghị mmetụta e dekọrọ na otu usoro nyocha anaghị ewepụta nchekwa, na mkpebi mmepe ọ bụla ka chọrọ ikpe toxicological tozuru oke gbakwunyere nyocha nyocha na usoro ndu.

Kedu ka MAOMAO si atụnyere DBAASP v3?

DBAASP v3, ogbo nnwale-ndekọ, na-ekpuchi karịa 15,700 ntinye peptide, gụnyere n'ofe 14,500 peptides monomeric na ihe siri ike 400 homo- na hetero-multimer, na ọrụ na toxicity nha megide 8 iche iche ma ọ bụ otu ụdị cell (DBAASP v3, ewepụtara November 2020). Ihe onwunwe abụọ ahụ na-aza ajụjụ dị iche iche: DBAASP v3 chịkọtara ndekọ atụnyere, ebe oyi akwa FAIR na-agbakwunye ihe akaebe-steeti na ubi nke na-eme ka ndekọ ọ bụla nyochaa.

Ụdị amụma dị ka ToxiPep ma ọ bụ ToxGIN nwere ike dochie ule nyocha?

Ọ bụghị dị ka nnọchi maka nnwale nnwale. ToxiPep kọrọ 0.92 AUC na-akọwa ịkpa oke n'usoro nlere anya ya, nke bụ nkwupụta arụmọrụ gbasara ihe nlereanya, ọ bụghị nchọpụta nchekwa gbasara usoro. A na-eji mmepụta amụma kachasị mma iji nye ọkwa na idobe ndị ga-aga n'ihu tupu nyocha nyocha na usoro ndu, ọ bụghị imechi ajụjụ nsi.

Kedu ule orthogonal ka ndepụta mkpirisi mkpirisi ka chọrọ?

Ndepụta nhọpụta ewepụtara site na metadata peptide toxicity achọpụtara ka chọrọ ọrụ nyocha nyocha, nke a na-ahụkarị njirimara na ntule ịdị ọcha nke HPLC na mass spectrometry n'akụkụ ihe nyocha nke usoro ndu ma ọ bụ mkpụrụ ndụ dị mkpa maka njedebe a chọrọ.. Ebe nchekwa data na-ebelata ihe ị nwalere mbụ; ọ dịghị ewepụ ule.

Kedu ka metadata FAIR si akwado akwụkwọ na-enye ike IND?

FAIR metadata na-akwado akwụkwọ na-enyere IND aka n'ihi na ọ na-edobe ndekọ ọ bụla ka enwere ike ịchọta ya na isi mmalite ya, usoro na ụbọchị mmepụta, nke bụ otu ihe nkọwa ALCOA nke MHRA chọrọ ka e si nweta ya, ziri ezi, dịkọrọ ndụ, mbụ na ezi ndekọ. Ndị na-achịkwa na-enyocha ụdọ ihe akaebe, ya mere, peptide toxicity metadata oyi akwa edekọtara nke ọma na-ebelata ọrụ nwughari ma emechaa.

Mmechi

Data toxicity FAIR peptide echekwabara na-eme ka ọnụọgụ ndị ndoro-ndoro anya dịkwuo mma, assay imewe na akuko, ma ọ dịghị egosi nchekwa. Ọdịiche ahụ bụ arụmụka niile: ihe ndekọ nke stampụ na-agwa gị ihe a tụrụ, kedu usoro, n'okpuru ọnọdụ, na ebe ihe akaebe na-akwụsị. Ọ naghị agwa gị na peptide adịghị mma, na enweghị akara nchekwa data nwere ike ibu ibu ahụ n'onwe ya.

Ikpe nke oyi akwa na-esi na ụdị data pụta n'èzí. Steeti ihe akaebe na mpaghara provenance na-eme ka ndekọ a na-enyocha ya; ihe ndekọ a na-enyocha na-eme ka ọnụọgụgụ bụrụ ihe a na-apụghị ịgbagha agbagha; nleba anya na-arụpụta atụmatụ nyocha nke na-adị ndụ nyocha. Nzọụkwụ ọ bụla dabere na nke bu ya ụzọ, nke mere na nkuchi ele mmadụ anya n'ihu na-akwụsịtụ na ndekọ mbụ na-enweghị isi.

Akụrụngwa na usoro gburugburu ebe obibi ihe nlereanya ya ka na-aga n'ihu. Ọdịiche mkpuchi ka dị, mkpuchi ikike ezughị ezu, na akara nrịbama akabeghị achịkwa mgbapu. Akwụkwọ ntọhapụ MAOMAO na-akọ na 15 nke 56 datasets na-ebu ozi ikikere doro anya, ya mere nyochaa usoro tupu ị wuo na tebụl ọ bụla. Were amụma amụma-ụkpụrụ ugbu a dị ka ntụzịaka, edozibeghị.

Ọ bụrụ na ị na-atụle nkuchi, Nzọụkwụ ọzọ bara uru bụ mkparịta ụka obosara gbasara usoro ọrụ nke gị. Mmepụta Peptide

Nkpughe: MOL Mgbanwe na-ebipụta akwụkwọ peptide na nyocha nyocha, gụnyere HPLC, Nnwale MS na ịmụ nwa n'okpuru klaasị 100 imeputa adịghị ike. Edemede a bụ agụmakwụkwọ na anaghị akwado ma ọ bụ kwado peptide ọ bụla akọwapụtara.

Mkpebi gbasara nchekwa peptide chọrọ nlebara anya ọkachamara tozuru oke yana nyocha nyocha na usoro ndu, ọ bụghị akara nchekwa data naanị.