Binding Site Detection
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for Binding Site Detection.
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2 items
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Updated
protein
stringlengths 104
9.28k
| label
stringlengths 154
13.9k
| stage
stringclasses 3
values |
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SdMvQvElEvDvTlFlRvEvLvRlIvFvLqRlNvVlTlHvRvLlAcIpDpKpRlFqRvVvFqTaKdPwVpDpPcDvEvVdPvDpYlVpTvVlIqKvQdPtMaDgLsSvSvVlInSvKcIsDvLvHsKvYdLlTaVpKvDvYsLlRvDrIlDvLsIsClSvNsAlLcEsYvNlPvDdRpDdPpGvDsRvLsIsRnHvRsAsCvAvLsRsDvTsAsYvAvIcIcKvEvEpLpDdEpDvFsErQvLsCsEvEvIvQvEvSvRd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 | train |
MdKkKkIkEkAkIkIfRaPvFvKlLvDvElVlKlIvAlLcVvNvAvGpIaVqGkMkTkVkSdEkVwRwGkFfGfRaQdKpGpQdTwEaRdYdRpGhSdEtYhThVgEdFiLdQiKiLmKiLmEiIgVgVaEdDpAvQcVvDvTvVsIvDvKsIqVlAvArAqRaTdGqEgNpGpDsGiKkImFfVmSaPdVwDpQkTkIaRfIlRaTpGrEdKiNdApDrAnIhSlMcKaKkIkEkAkIkIfRaPvFvKlLvDvElVlKlIvAlLcVvNvAvGpIaVqGkMkTkVkSdEkVmRwGmFgGrRaQnKpGpQdTwEaRdYdRpGhSdEtYhThVgEdFiLdQiKiLmKiLmEiIgVgVaErDpAvQcVvDvTvVsIvDvKsIqVsAvArAqRyTdGnEgNpGpDsGiKmImFtVhSaPdVwDpQkTkIaRfIlRaTpGrEdKiNsApDrAnIhSlMcKaKkIkEkAkIkIfRaPvFvKlLvDvElVlKsIvAlLcVvNvAvGpIaVrGmMkTmVkSdEkVmRwGmFgGrRaQnKpGpQdTwEaRdYdRpGhSdEtYhThVgEdFiLdQiKiLmKiLmEiIgVgVhErDpAvQcVvDvTvVsIvDvKsIqVsAvArAqRyTdGnEgNpGpDsGiKmImFtVhShPdVtDpQkTmIaRgIsRhTpGrEdKiNsApDrAnIrSd | 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1 | train |
FdPdTdLlIlSvLqLlEvVvIlEpPdEdVfLdYdSqGpYdDdSpTpLdPdDpTaSpTqRvLvMlSlTsLlNqRaLsGlGvRvQvVlVvSsAvVlKvWsAlKvAsLrPpGlFsRvNvLfHdLpDvDvQnMlTqLlLsQlYqSqWsMlSlLlMlAlFlSvLqGlWvRqScYcKvQvSpNvGlNqMwLrCpFsAgPpDnLdViIgNgEqEvRsMlQpLhPpYpMrYnDvQvCsQvQlMsLsKvIsSnSvElFcVnRvLlQvVdSdYpDsElYsLsClMlKsVvLlLsLsLlSwTkVdPfKlDvGdLdKpSpQrAvVsFsDvEvIvRnMvTvYsIlKvEsLnGlKvAvIlVpKvRvEdGvNdSpSpQcNsWvQvRsFsYvQsLsTlKvLsLsDqScMsHvEvMsVsGvGvLvLlQvFvCvFlYcTcFlVpNvKcSvLsSvVhEdFhPdEpMvLvAnEvIsIcSvNvQnLvPcKcFvKvAvGpSrVmKdPtLhLhFpHdQdKd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 | train |
MdEaKdLkVwQfPfTaPpLvLlLvSvLqLlKvSvAqGpAdQdKdEgTiFdThMvKvEsVsLvYvHsLvGvQsYsIqMvAvKvQvLqYaDdEpKpQqQrHqIkVgHaCpSpNvDhPpLvGcEvLqFqGvVhQgEmFdSgVvKvEpHvRvRsIvYvAvMsIrSvRvNgLtVdSd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0 | train |
PdKvEvMlLvRlAvQlTvNlVlIlLlLlNlVlLqKvQlGhDkNaYfVlYvGvIsIqKvQlVlKcEvAlSlNvGnEpMdEgLdNdEsAvTsLcYvTvIsFvKvRvLcEvKvDvGqIqIkSdSwYdWdGdDcRpKiYiYiRhLgTgEpIvGnHvEvNvMsRvLvAlFvEvSvWvSvRlVlDvKqIlIlEvNlLlEvAcPvKpEvMsLvRlAvQsTvNlVlIlLlLlNsVnLqKvQsGhDkNaYfVlYvGvIsIqKvQsVsKcEvAsSsNvGnEpMdEgLdNdEsAvTsLcYvTvIsFvKvRvLcEvKvDvGqIqIkSdSwYdWdGdDcRpKiYiYiRhLgTgEpIvGnHvEvNvMsRvLvAsFvEvSvWvSvRsVsDvKsIsIsEvNsLsEvAd | 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0 | train |
DdLqKvKlIlEvSvYlLcDvKlLlRvIvKdEvKvDqGpEcErRsKvIvYcAsEpVqLaDdGnRvTvLsKvTvLvYsKvLcSvAvKvGfYfIfTvAhMwGdGdVwIdSaTgGdKdEfAkNtVwFtYwAtDwGgVdFfDpGnKdPiVaAiMkAiVkKiIfYgRhIqEpDdKdMlDvElYlLqYqGlDfEvRvFrDvMpRdRdIcSdPsKsEcKpVlFvIvWlTqEvKlEqFlRvNlLqEvRlAlKvEvAlGpVaSaVaPwQaPwYgTdYdMdKrNrViLtLiMtEhFaIdGdEpDpErLdPhAaPaTqLqVvEsLcGpRpEvLcKlEvLdDpVlEqGvIqFlNvDlVvVlEvNnVlKlRsLcYcQpErAsEqLkVhHqAlDpLaSaEsYvNaIwMgYdIdDpKhViYhFgIdDdMsGsQrAiVgTgLvRsHrPvMcArElSvYsLnElRvDnVlRvNrIsIcRvFvFsSvKvYnGpVhKdAdDdFsEvEvMsLsKcEsVsKvGvEd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 | train |
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NsIcQvRsLqVpQsAdGsLvGsErYnLcFcEsRsLsTpLsSvQvIlRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDvVnAsLlEnGlVsCnHvFvFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKsMvQsNsQlRnGsGrRrAhLdFhQrDiLrQgKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKqSvLsNlQvAsLlLlDvLsHlAvLvGcSvAvQsAlDnPlHlLsCnDlFsLsEqSvHpFpLnDvEvEsVlKlLvIsKsKlMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFdEsRsLsTpLdSvQvIlRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDsVnAnLlEnGlVsCnHvFlFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKsMvQsNsQlRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAlDnPlHlLsCnDlFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFcEsRsLsTpLsSvQvIlRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDsVnAnLlEnGlVsCnHvFvFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKsMvQsNsQlRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAlDnPlHlLsCnDlFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFdEsRsLsTdLdSvQvIlRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDsVnAnLlEnGlVsCnHvFlFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKsMvQsNsQlRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAlDnPlHlLsCnDlFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFcEsRsLsTpLsSvQvIlRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDsVnAnLlEnGlVsCnHvFvFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKsMvQsNsQlRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAlDnPlHlLsCnDlFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKlMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFdEsRsLsTpLdSvQvIsRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDvVnAsLlEnGlVsCnHvFlFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKsMvQsNsQsRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAsDnPsHnLsCnDsFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFcEsRsLsTpLsSvQvIsRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDvVnAsLlEnGlVsCnHvFvFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKvMvQsNsQsRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAsDnPsHnLsCnDsFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFdEsRsLsTdLdSvQvIsRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDvVnAsLlEnGlVsCnHvFlFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKvMvQsNsQsRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAsDnPsHnLsCnDsFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFcEsRsLsTpLsSvQvIsRaQdNlYdSdTlEvVlElAvAlVlNlRvLlVlNlLlYlLqRlAlSlYqTqYlLqSlLqGlFsYlFcDsRnDsDvVnAsLlEnGlVsCnHvFvFsRnEvLsAsEvEvKsRnEvGvAsEsRlLsLsKvMvQsNsQsRnGsGrRrAhLdFhQrDiLrQrKhPdSpQdDnEhWqGpTdTpLlDsAvMlKvAvAnIlVvLsElKsSvLsNlQvAsLlLsDvLsHlAvLvGcSvAvQsAsDnPsHnLsCnDsFsLsEnSvHpFpLnDvEvEsVsKnLvIsKsKvMsGsDsHlLnTsNsIcQvRsLqVpQsAdGsLvGsErYnLcFsEsRsLsTpLd 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GdAvMlGqSpMpEdRlAvSlLlIcQvKvAlKvLlAcEvQlAlEvRvYlEqDsMnAlAvFsMlKlGsAnVlEvKvGqEdEaLdSdEvEsRlNvLsLnScVvAsYlKcNsVvVlGvGlQlRlAlAlWlRvVlLlSvSvIvEvQvKvScNpEdEpGpSrEdEnKdGdPcElVsRvEvYlRsEvKvVsElTvEvLsQlGvVsClDvTsVlLlGvLsLlDvSvHpLhIqKvEpAdGdDaAlEvSrRnVlFsYsLlKlMsKqGlDvYsYlRlYsLnAlEvVpAdTdGdDdDcKnKvRvIsIlDvSrAsRlSvAsYlQvEvAsMqDvIsScKvKvEhMhPqPlTqNdPlIsRnLlGvLsAlLlNvFvSlVvFsHvYvEpIpAvNvShPlEvEvAsIlSvLsAlKvTvTsFlDvEsAnMvAvDpLlHvTvLdSdEvDvSsYnKvDsSrTvLvIsMnQvLsLsRvDvNcLvTvLvWsTcGvAvMlGqSpMpEdRlAvSsLlIcQvKvAlKvLsAcEvQsAsEvRvYlEqDsMnAlAvFsMlKlGsAnVlEvKvGqEdEaLdSdEvEsRlNvLsLnScVvAsYlKcNsVvVlGvGsQlRlAsAsWlRvVsLlSvSvIvEvQvKvScNpEdEpGpSrEdEnKdGdPcEsVsRvEvYsRsEvKvVsElTvEvLsQlGvVsClDvTsVlLlGvLsLlDvSvHpLhIqKvEpAdGdDaAlEvSrRnVlFsYsLlKlMsKqGlDvYsYlRlYsLnAlEvVpAdTdGdDdDcKnKvRvIsIlDvSrAsRlSvAsYlQvEvAsMqDvIsScKvKvEhMhPqPlTqNdPlIsRnLlGvLsAlLlNvFvSlVvFsHvYvEpIpAvNvShPpEvEvAsIlSvLsAlKvTvTsFlDvEsAnMvAvDpLlHvTvLdSdEvDvSsYnKvDsSrTvLvIsMnQvLsLsRvDvNvLnTvLvWsTd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 | train |
PdLvEcSvQqYkQpVwGdPaLwLpGdSaGdGlFqGaStVkYtSwGiIaRgVvSvDpNrLfPtVkAiIkKgHkVdEfKqDvRsIaSdDaWwGdEaLdPpNvGgTdRiVhPgMqElVvVvLlLqKvKlVqSaSdGdFdSaGqVaIwRhLwLdDdWkFdEqRdPvDgSiFiVmLtIiLtEgRdPaEpPpVkQdDfLqFlDvFvIcTvEvRvGpAaLaQdElElLlAlRlSqFqFlWvQsVnLlEvAsVqRvHsCsHvNvCsGqVkLfHqRlDaIdKaDrErNqIwLmIaDnLlNqRqGrEhLiKhLgIdDdFsGrSqGmAdLgLaKdDaTdVkYdTqDdFdDdGyTdRpVlYlSfPaPlEcWcIlRpYpHsRiYdHhGrRqSlArAvVlWsSsLsGlIqLrLsYlDcMnVrCqGvDhIgPqFdEdHdDsEvEcIrInRvGvQdVgFdFhRpQdRdVdSdSpEqCsQvHvLlIsRcWqCsLsApLnRpPsSvDsRhPdTgFsEvErIsQcNvHrPpWsMnQpDpVrLdLrPsQnEvTsAsEvIvHpLrHdSd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 | train |
LdGfSqIaLfPfFfNdEaEaTlAqDaRlVvSvAvYvClEcKvNlSfHdGwIdPdDpAlLlVvEvHlWlEvWvTlRvTpRpFdPpDvAsDvKlMdSdSdRrLqQvGlSsWvMlIlFvTvAcRlDqRvKvPkKqReIeLeEeIeGaCcYqSsGnYnSsAvLvAsWnYvEnGsTnRvDvTnKlAhEqIyVeTyLeEhYaSdPpKvMrIvAvAnSnRvEvAsFcKvKvYvGpVpGdDpRsVhKhLyIdEyGdPdAcElNpTvLvKlTvLdEdGdEaFtDqLeIyFeVaDrAdNdKlDlGcYpAlGsYsVvKvTsIcLvDvQrGvLnLhSdAqNlGhIkIyLkCyDaNlVlFcAlRlGvLlTlIlGhPlDpCfArPpWpLdNdDvHvVcRsPvYvWsNnGvCsGsQvAsLsDvKvFsSlAvGvLlMvEvDdPqRqIwDaVwLaLfLfPqVfFqDnGiViTiQmIiRhWgKhDcLvGhSrIhLrPhFgNhEvEvTsAsDrRsVvSrAvYsCrEcKvNsSgHdGwIdPdDpAlLlVvEvHlWvEvWvTvRcTvRvFdPpDpApDvKdMdSdSdRrLsQvGlSsWvMlIlFvTvAcRlDnRvKvPkKqReIeLeEeIeGaCcYqSlGnYsSnAvLvAsWnYlEnGnTnRpDpTnKlAhEaIyVeTyLeEhYeSdPpKvMrIlAvAnSnRvEvAsFcKvKvYvGvVvGvDpRrVyKhLyIdEyGhPdAcElNpTcLvKlTvLdEdGdEaFiDqLeIyFeVaDpAdNdKlDlGcYrAlGvYnVvKvTsIcLvDvQvGvLnLhSdAqNsGhIkIyLkCyDaNlVlFcAlRsGvLlTlIsGhPlDpCsAhPpWpLdNdDvHvVcRsPvYvWsNnGvCsGsQvAsLsDvKvFsSsAvGvLvMvEpDdPpRqIwDgVwLgLwLtPnVtFrDnGiViTiQmIiRhWgKrDdGdAdQpRdAd | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 | train |
Binding Site Detection predicts , predict whether a protein residue belongs to a small molecule binding cavity. Binding site residues are those within the binding pocket provided by PDBBind. Default metric is Matthew's Correlation.
Structure type: PDB
The dataset is from ProteinShake Building datasets and benchmarks for deep learning on protein structures. We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:
Classification labels of all residues.
0: The protein residue does not belong to a small molecule binding cavity.
1: The protein residue belongs to a small molecule binding cavity.