Standout Papers

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-c... 2017 2026 2020 2023 388
  1. Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC (2017)
    Prabina Kumar Meher, Tanmaya Kumar Sahu et al. Scientific Reports

Immediate Impact

1 from Science/Nature 69 standout
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Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
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10 intermediate papers

Works of Tanmaya Kumar Sahu being referenced

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC
2017 Standout
Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier
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Author Peers

Author Last Decade Papers Cites
Tanmaya Kumar Sahu 539 85 31 224 39 657
Nicole Lawrence 569 90 96 214 43 725
Aurélie H. Benfield 496 213 44 336 27 795
Mariana T. Q. de Magalhães 453 80 33 120 44 730
Ming Tan 419 283 33 133 33 644
Kuan Y. Chang 495 171 133 267 24 751
Zdeněk Vobůrka 330 62 64 222 26 690
Lenka Monincová 345 24 46 277 22 683
Chengdong Huang 416 29 49 50 33 605
André Teixeira‐Ferreira 350 104 111 125 42 733
Nicolau Brito da Cunha 481 145 53 267 36 702

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2026