PALM-H3

PALM-H3 PALM

Peer-reviewed Prospective flag Direct antibody flag

Summary card

ПолеЗначение
Год / version2024 / NR
Last verified2026-08-13
Что генерируетCDR-H3 sequence; grafted antibody candidates
ФорматыAntibody variable region candidates; validated on SARS-CoV-2 antibodies
De novo или optimizationDe novo CDR-H3 on existing framework
DOI10.1038/s41467-024-50903-y
Paperhttps://doi.org/10.1038/s41467-024-50903-y
GitHub / repohttps://github.com/TencentAILabHealthcare/PALM
Service / docsNR
ЛицензияCustom repository license; verify commercial use
Доступность / commercial-useCode + Zenodo models/data

Задача и generated object

Used in these tasks: Генерация CDR sequence, Antigen-conditioned antibody design

Part of these workflows: Antigen-conditioned CDR-H3 generation (PALM-H3)

ПолеЗначение
Required inputAntigen/epitope sequence and antibody context/framework
ConditioningCDR-H3 length/context; antigen epitope sequence
FixedNR
EditableNR
GeneratedCDR-H3 sequence; grafted antibody candidates
Single mutationsNo
Combinatorial mutationsFull CDR-H3
Multi-objectiveNo explicit multi-objective optimizer

Architecture and operating principle

Author-reported (matrix)
ПолеЗначение
Base architectureNR
Model type1 + 5 Antibody sequence and target-conditioned generator
RepresentationNR
Generation unitCDR-H3 sequence; grafted antibody candidates
ConditioningCDR-H3 length/context; antigen epitope sequence
OutputCDR-H3 sequence; grafted antibody candidates
SamplingNR
Internal scorerA2binder specificity/affinity predictor
Structure generationNo native 3D generator; structure modeled downstream

Input representation

NR

ПолеЗначение
Node featuresNR
Edge / pair featuresNR

Encoder и decoder

NR

ПолеЗначение
EncoderNR
DecoderNR

Latent or generative state

NR

Conditioning mechanism

CDR-H3 length/context; antigen epitope sequence

Generation mechanism

Antigen encoder + autoregressive antibody decoder; A2binder predictor for ranking

Sampling: NR

Training objectives

NR

Losses: NR

Mathematical details: NR

Integrated evaluation

A2binder specificity/affinity predictor

Architectural limitations

Uses these architecture components: Protein language models, Autoregressive generation

Generator versus evaluation

ComponentRoleArchitecture classIntegrated or externalRequired or optionalInfluences generation or post hocRuntime included or excluded
PALM-H3primary_generatorAntigen encoder + autoregressive antibody decoder; A2binder predictor for rankingintegratedrequiredgenerationincluded
A2binder specificity/affinity predictorintegrated_scorerNRintegratedoptionalpost_hocunknown
Structure prediction/docking and binding/neutralization assaysmandatory_external_dependencyNRexternalrequiredpost_hocexcluded
Experimental binding/function assaysexperimental_validationNRexternalrequiredpost_hocexcluded

Training data и biases

ПолеЗначение
Training dataNR
PreprocessingNR
Negative examplesNR
Fine-tuningNR
Label requirementsNR
Training hardwareNR
Training timeNR

Inference hardware и runtime

ПолеЗначение
Candidate countNR
Batch sizeNR
Generation stepsNR
RecyclesNR
SizeNR
Reported runtimeNR
Runtime boundaryNR
CPUNR
GPUNR
VRAMNR
RAMNR
DiskNR
DatabasesNR

Experimental evidence

ПолеЗначение
Evidence class3–4 prospective binding and functional validation
RetrospectiveNR
Prospective bindingBinding and neutralization reported; predicted affinity outputs are not the experimental result
Prospective functionBinding and neutralization reported; predicted affinity outputs are not the experimental result
DevelopabilityNR
Tested design countGenerated antibodies tested against SARS-CoV-2 variants; exact final count: NR here
Success criterionBinding and neutralization reported; predicted affinity outputs are not the experimental result
Independent validationNR
SummaryBinding and neutralization reported; predicted affinity outputs are not the experimental result

Limitations and failure modes

Deployment: Limited antibody pilot

Reproducibility, license, commercial use

ПолеЗначение
Repohttps://github.com/TencentAILabHealthcare/PALM
LicenseCustom repository license; verify commercial use
Commercial-use statusCode + Zenodo models/data

Alternative tools: NR

Complementary: NR

Related: NR

Not directly comparable with

AlphaProteo, BindCraft, BoltzGen, FrameDiff, RFdiffusion, RFdiffusion All-Atom (RFdiffusionAA)
Сравнение допустимо только внутри совместимых категорий. Runtime и quality AntiFold vs RFantibody нельзя читать как одну шкалу: разные starting points и generated objects.

Depends on these external modules

NR

NR

Primary paper и полный список источников

xTrimoPGLM-based antigen-specific antibody CDR-H3 design (PALM-H3)

Source matrix: landscape xlsx, last verified 2026-08-13.

Review queue

Детальный source-grounded разбор

sources identified Последняя сверка источников: 2026-08-27. Ниже — каркас обязательных разделов, заполненный из канонического YAML инструмента. Это не замена чтения primary paper / SI / model files. Поля без первоисточника помечены NR или MATRIX.

1. Что именно делает инструмент

[MATRIX]Вход: Antigen/epitope sequence and antibody context/framework

[MATRIX]Generated object: CDR-H3 sequence; grafted antibody candidates

[MATRIX]Фиксируется: NR. Изменяется: NR.

[MATRIX]De novo или parent-based: De novo CDR-H3 on existing framework.

2. Архитектура в одном абзаце

[MATRIX]Antigen encoder + autoregressive antibody decoder; A2binder predictor for ranking

4. Математическая модель

NRТочные уравнения, losses и sampling solver будут внесены после чтения paper/code. Не подставляйте родовой UCB/transformer/diffusion, если он не подтверждён для этого инструмента.

Поля NR: conditional probability, update equations, sampling algorithm

5. Физическое устройство состояния

[MATRIX]Seed generated state / output: CDR-H3 sequence; grafted antibody candidates. Structure generation: No native 3D generator; structure modeled downstream.

6. Физико-химическая интерпретация

[INTERPRETATION]Координаты, frames, PLM embeddings или residue tokens не являются расчётом ΔG, электростатики или растворителя, пока это не сделано внешней energy function. Likelihood / pLDDT / docking score ≠ экспериментальный binding.

7. Training

[MATRIX]Данные: NR. Fine-tuning: NR. Negative examples: NR.

8. Inference

[MATRIX]Sampling: NR. Generation steps: NR. Runtime boundary: NR.

10. Почему, по мнению авторов, метод эффективен

[MATRIX]Author-reported summary (матрица): Binding and neutralization reported; predicted affinity outputs are not the experimental result

NRCausal support не классифицирован, пока не прочитаны ablation и experimental sections.

12. Ablation analysis

NRAblation в этом выпуске не разобрана.

13. What the model does not represent

14. Evidence and limitations

[MATRIX]Evidence class (матрица): 3–4 prospective binding and functional validation. Prospective binding: Binding and neutralization reported; predicted affinity outputs are not the experimental result. Function: Binding and neutralization reported; predicted affinity outputs are not the experimental result. Developability: NR.

15. Reproducibility

NRРепозиторий: https://github.com/TencentAILabHealthcare/PALM. Лицензия: Custom repository license; verify commercial use. Commit: NR, пока страница не имеет отдельного analysis YAML.

Модульная схема

МодульКласс моделиВходВыходОбучается или frozenGenerator или evaluator
PALM-H3Antigen encoder + autoregressive antibody decoder; A2binder predictor for rankingNRNRNRprimary_generator
A2binder specificity/affinity predictorNRNRNRNRintegrated_scorer
Structure prediction/docking and binding/neutralization assaysNRNRNRNRmandatory_external_dependency
Experimental binding/function assaysNRNRNRNRexperimental_validation

Generator versus evaluator

КомпонентРольIntegrated или externalRequired или optionalВлияет на generation или только ранжирует после
PALM-H3primary_generatorintegratedrequiredgeneration
A2binder specificity/affinity predictorintegrated_scorerintegratedoptionalpost_hoc
Structure prediction/docking and binding/neutralization assaysmandatory_external_dependencyexternalrequiredpost_hoc
Experimental binding/function assaysexperimental_validationexternalrequiredpost_hoc

Claim–evidence matrix

УтверждениеПредполагаемый механизмТип evidenceДатасет / экспериментComparatorМетрика / результатИсточникОговорка
Binding and neutralization reported; predicted affinity outputs are not the experimental resultAntigen encoder + autoregressive antibody decoder; A2binder predictor for ranking5. prospective functional validationGenerated antibodies tested against SARS-CoV-2 variants; exact final count: NR hereNRBinding and neutralization reported; predicted affinity outputs are not the experimental result[MATRIX] landscape matrix 2026-08-13Не читать как полный разбор primary paper.