| scholarly article | Q13442814 |
| P356 | DOI | 10.1038/S41598-020-76161-8 |
| P698 | PubMed publication ID | 33159146 |
| P50 | author | Kylene Kehn-Hall | Q37837531 |
| P2093 | author name string | Bobbie-Jo M Webb-Robertson | |
| Barney Bishop | |||
| Sarah M Reehl | |||
| Abu Sayed Chowdhury | |||
| P2860 | cites work | Hydrophilic peptides derived from the transframe region of Gag-Pol inhibit the HIV-1 protease | Q27748879 |
| Analysis and prediction of highly effective antiviral peptides based on random forests | Q28535105 | ||
| Peptides derived from the reverse transcriptase of human immunodeficiency virus type 1 as novel inhibitors of the viral integrase | Q33213216 | ||
| Inhibition of the activities of reverse transcriptase and integrase of human immunodeficiency virus type-1 by peptides derived from the homologous viral protein R (Vpr). | Q33284178 | ||
| Phage display of combinatorial peptide libraries: application to antiviral research. | Q33882521 | ||
| Prediction of protein folding class using global description of amino acid sequence | Q33919861 | ||
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| HIPdb: a database of experimentally validated HIV inhibiting peptides | Q34566584 | ||
| PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence | Q34974203 | ||
| Achievements and challenges in antiviral drug discovery | Q36186792 | ||
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| Current peptide HIV type-1 fusion inhibitors | Q37606219 | ||
| Mechanisms of viral emergence | Q37694793 | ||
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| protr/ProtrWeb: R package and web server for generating various numerical representation schemes of protein sequences. | Q38417328 | ||
| AVPdb: a database of experimentally validated antiviral peptides targeting medically important viruses. | Q38490669 | ||
| AVCpred: an integrated web server for prediction and design of antiviral compounds. | Q39524689 | ||
| AVP-IC50 Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50). | Q40693694 | ||
| AVPpred: collection and prediction of highly effective antiviral peptides. | Q42232907 | ||
| Letter to the editor: Stability of Random Forest importance measures. | Q51709553 | ||
| Gene Selection for Cancer Classification using Support Vector Machines | Q56535529 | ||
| Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles | Q60915072 | ||
| Peptides derived from the CDR3-homologous domain of the CD4 molecule are specific inhibitors of HIV-1 and SIV infection, virus-induced cell fusion, and postinfection viral transmission in vitro. Implications for the design of small peptide anti-HIV | Q70247981 | ||
| Building Predictive Models inRUsing thecaretPackage | Q75168729 | ||
| Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation. | Q78177163 | ||
| Genetic diversity and evolution of SARS-CoV-2 | Q89858902 | ||
| AntiVPP 1.0: A portable tool for prediction of antiviral peptides | Q91893192 | ||
| Re-epithelialization and immune cell behaviour in an ex vivo human skin model | Q92491564 | ||
| Capreomycin resistance prediction in two species of Mycobacterium using a stacked ensemble method | Q92661512 | ||
| PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning | Q93153819 | ||
| P433 | issue | 1 | |
| P304 | page(s) | 19260 | |
| P577 | publication date | 2020-11-06 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance | |
| P478 | volume | 10 |
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