MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover, G Srinivasaraghavan… - …, 2020 - academic.oup.com
Motivation Accurate prediction of binding between a major histocompatibility complex (MHC)
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …
[HTML][HTML] MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover, G Srinivasaraghavan… - …, 2020 - ncbi.nlm.nih.gov
Results MHCAttnNet is a deep neural model that uses an attention mechanism to capture
the relevant subsequences of the amino acid sequences of peptides and MHC alleles. It …
the relevant subsequences of the amino acid sequences of peptides and MHC alleles. It …
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model.
G Venkatesh, A Grover, G Srinivasaraghavan… - …, 2020 - search.ebscohost.com
Motivation: Accurate prediction of binding between a major histocompatibility complex
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
[PDF][PDF] MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover, G Srinivasaraghavan… - …, 2020 - researchgate.net
Motivation: Accurate prediction of binding between a major histocompatibility complex
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover… - … , Aayush Grover, G …, 2020 - papers.ssrn.com
Abstract ccurate prediction of binding between a major histocompatibility complex (MHC)
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover… - Bioinformatics …, 2020 - pubmed.ncbi.nlm.nih.gov
Motivation Accurate prediction of binding between a major histocompatibility complex (MHC)
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …
[PDF][PDF] MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover, G Srinivasaraghavan, S Rao - Bioinformatics, 2020 - academia.edu
Motivation: Accurate prediction of binding between a major histocompatibility complex
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model.
G Venkatesh, A Grover… - Bioinformatics (Oxford …, 2020 - europepmc.org
Results MHCAttnNet is a deep neural model that uses an attention mechanism to capture
the relevant subsequences of the amino acid sequences of peptides and MHC alleles. It …
the relevant subsequences of the amino acid sequences of peptides and MHC alleles. It …
[PDF][PDF] MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover… - …, 2020 - pdfs.semanticscholar.org
Motivation: Accurate prediction of binding between a major histocompatibility complex
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
(MHC) allele and a peptide plays a major role in the synthesis of personalized cancer …
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model.
G Venkatesh, A Grover… - Bioinformatics (Oxford …, 2020 - europepmc.org
Results MHCAttnNet is a deep neural model that uses an attention mechanism to capture
the relevant subsequences of the amino acid sequences of peptides and MHC alleles. It …
the relevant subsequences of the amino acid sequences of peptides and MHC alleles. It …