Serveur d'exploration Covid (26 mars) - Exploration (Accueil)

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List of bibliographic references indexed by prediction

Number of relevant bibliographic references: 16.
Ident.Authors (with country if any)Title
000045 (2020) S Y Tang [République populaire de Chine] ; Y N Xiao [République populaire de Chine] ; Z H Peng [République populaire de Chine] ; H B Shen [République populaire de Chine][Prediction modeling with data fusion and prevention strategy analysis for the COVID-19 outbreak].
000464 (2020) Tao Zhou [République populaire de Chine] ; Quanhui Liu [République populaire de Chine] ; Zimo Yang [République populaire de Chine] ; Jingyi Liao [République populaire de Chine] ; Kexin Yang [République populaire de Chine] ; Wei Bai [République populaire de Chine] ; Xin Lu [République populaire de Chine] ; Wei Zhang [République populaire de Chine]Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV.
000469 (2020) Yu Wai Chen [Hong Kong] ; Chin-Pang Bennu Yiu [Hong Kong] ; Kwok-Yin Wong [Hong Kong]Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CL pro) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates
000470 (2020) Toshikazu Kuniya [Japon]Prediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020.
000471 (2020) Changyu Fan ; Linping Liu [République populaire de Chine] ; Wei Guo ; Anuo Yang ; Chenchen Ye ; Maitixirepu Jilili ; Meina Ren ; Peng Xu ; Hexing Long ; Yufan WangPrediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study
000798 (2020) Naveen Vankadari [Australie] ; Jacqueline A. Wilce [Australie]Emerging WuHan (COVID-19) coronavirus: glycan shield and structure prediction of spike glycoprotein and its interaction with human CD26.
000B40 (2020) Ibrahim M. Ibrahim [Égypte] ; Doaa H. Abdelmalek [Égypte] ; Mohammed E. Elshahat [Égypte] ; Abdo A. Elfiky [Arabie saoudite]COVID-19 spike-host cell receptor GRP78 binding site prediction.
000D28 (2019) Jesse L. Hoff [États-Unis] ; Jared E. Decker [États-Unis] ; Robert D. Schnabel [États-Unis] ; Christopher M. Seabury [États-Unis] ; Holly L. Neibergs [États-Unis] ; Jeremy F. Taylor [États-Unis]QTL-mapping and genomic prediction for bovine respiratory disease in U.S. Holsteins using sequence imputation and feature selection
001083 (2015) Arafat Rahman Oany [Bangladesh] ; Shah Adil Ishtiyaq Ahmad [Bangladesh] ; Mohammad Uzzal Hossain [Bangladesh] ; Tahmina Pervin Jyoti [Bangladesh]Identification of highly conserved regions in L-segment of Crimean–Congo hemorrhagic fever virus and immunoinformatic prediction about potential novel vaccine
001193 (2014) Hosna Jabbari ; Anne CondonA fast and robust iterative algorithm for prediction of RNA pseudoknotted secondary structures
001393 (2011) Sudhir Singh Soam [Inde] ; Bharat Bhasker ; Bhartendu Nath MishraImproved prediction of MHC class I binders/non-binders peptides through artificial neural network using variable learning rate: SARS corona virus, a case study.
001635 (2007) Wayne K. Dawson ; Kazuya Fujiwara ; Gota KawaiPrediction of RNA Pseudoknots Using Heuristic Modeling with Mapping and Sequential Folding
001655 (2007) Erez M. Bublil [Israël] ; Natalia Tarnovitski Freund [Israël] ; Itay Mayrose [Israël] ; Osnat Penn [Israël] ; Anna Roitburd-Berman [Israël] ; Nimrod D. Rubinstein [Israël] ; Tal Pupko [Israël] ; Jonathan M. Gershoni [Israël]Stepwise prediction of conformational discontinuous B‐cell epitopes using the Mapitope algorithm
001717 (2006) Sanghoon Moon [Corée du Sud, Niger] ; Yanga Byun [Corée du Sud, Niger] ; Kyungsook Han [Corée du Sud]Prediction of Ribosomal -1 Frameshifts in the Escherichia coli K12 Genome
001770 (2005) Gaurav Sachdeva [Inde] ; Kaushal Kumar [Inde] ; Preti Jain [Inde] ; Srinivasan Ramachandran [Inde]SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks
001771 (2005) Yeon-Jin Cho [Corée du Sud] ; Hyeoncheol Kim [Corée du Sud]Rule Generation Using NN and GA for SARS-CoV Cleavage Site Prediction

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