Bren­dan Frey set out, when he be­gan the project to pick out a lead pro­gram for Deep Ge­nomics, to prove that the ar­ti­fi­cial in­tel­li­gence sys­tems his lab has de­signed can iden­ti­fy new drug tar­gets and find a win­ning can­di­date much faster than tra­di­tion­al meth­ods. Now that they have ze­roed in on an an­ti­sense oligonu­cleotide ex­on-skip­ping ther­a­py for a sub­type of Wil­son dis­ease — se­lect­ed out of 2,400 ail­ments and 120,000 un­der­ly­ing ge­net­ic mu­ta­tions — as their face case, the Toron­to-based biotech is ready to delve in­to new fron­tiers with their AI tech.

Deep Ge­nomics plans to spend rough­ly half of its new $40 mil­lion on clin­i­cal de­vel­op­ment of DG12P1, whose first-in-hu­man tri­al is slat­ed for 2021; and the oth­er half on strength­en­ing var­i­ous com­po­nents of its ma­chine learn­ing sys­tems, from ro­bot­ics to as­says. Fu­ture Ven­tures, an in­vestor in Tes­la and SpaceX, led the Se­ries B round while Am­pli­tude Ven­tures, Mag­net­ic Ven­tures, Khosla Ven­tures and True Ven­tures joined.

While they took a splice mod­u­lat­ing ap­proach for their first AI-dis­cov­ered com­pound akin to what Bio­gen has with Spin­raza, Deep Ge­nomics is next fo­cused on hap­loin­suf­fi­cien­cies — dis­or­ders where in­creased ex­pres­sion lev­els of one func­tion­al gene would be valu­able. In oth­er words, where­as the pre­vi­ous chal­lenge lied in find­ing the right mu­ta­tion to tin­ker, the new puz­zle is how best to boost a known tar­get.

It’s a rel­a­tive­ly new ap­pli­ca­tion of oligonu­cleotides with no ap­proved drugs, which is al­so be­ing ex­plored at Stoke Ther­a­peu­tics.

“There are many dif­fer­ent mech­a­nisms that could be rel­e­vant, and so when you look at all these dif­fer­ent mech­a­nisms and all these dif­fer­ent re­gions of the gene that you could de­sign the oli­go for, there are tens of thou­sands, or even hun­dreds of thou­sands of pos­si­ble com­pounds,” says Frey, a star re­searcher that in­sil­i­co’s Alex Zha­voronkov con­sid­ers “with­out doubt in top 10 sci­en­tists in this field in the world.”

Frey elab­o­rates:

That could be in the 5’ UTR, it could be in the in­tron, it could be in an ex­on, in­tron­ic se­quences are very large, could be in a 3’ UTR, dif­fer­ent kinds of mech­a­nisms may be in­volved. It could be a mat­ter of al­ter­ing the up­stream open read­ing frame, or it could be a mat­ter of an in­tron or ten­sion bot­tle neck, it could be a mat­ter of chang­ing the polyadeny­la­tion site, it could be a com­pound that al­ters sec­ondary struc­tures.

New tools will be re­quired to test all these paths they can po­ten­tial­ly trav­el down, and Deep Ge­nomics’ team of 40-plus is al­ready per­fect­ing one mod­el de­signed to pre­dict polyadeny­la­tion pat­terns.

“Mul­ti­lin­gual­ism is an im­por­tant core val­ue for us,” he pre­vi­ous­ly said. “Every­one at the com­pa­ny has had AI train­ing, and every­one at the com­pa­ny has done wet lab work. In fact I ac­tu­al­ly se­quenced the ge­nom­ic DNA for the Wil­son tar­get to val­i­date it once we edit­ed the cell line to put the pa­tient mu­ta­tion in­to the cells.”

In ad­di­tion to deep­en­ing the clin­i­cal bench, Frey is al­so re­cruit­ing for the busi­ness de­vel­op­ment unit.

“Our pipeline is over­flow­ing, and so we’re fo­cused on sign­ing some busi­ness deals,” he tells End­points News in the lead­up to the an­nu­al JP Mor­gan con­fab in San Fran­cis­co.

That in­cludes two ad­di­tion­al pro­grams for Wil­son’s dis­ease that, to­geth­er with the lead pro­gram, would ad­dress up to a quar­ter of the 230,000 pa­tients world­wide. There’s one oth­er undis­closed meta­bol­ic can­di­date for which Frey plans to sub­mit an IND this year, some com­pounds for retinopa­thy, and a dozen hap­loin­suf­fi­cient projects in de­vel­op­ment, he says.

J&J has zeroed in on a Covid-19 vaccine candidate that it hopes to begin testing in humans by September this year — with the extraordinary goal of getting it ready for emergency use in early 2021. And together with BARDA, it’s committing $1 billion to make it happen.

That kind of accelerated timeline would fall on the fast side of NIAID director Anthony Fauci’s well-publicized prediction that it would be another 12 to 18 months before a vaccine can be available for public use. A Phase I trial of Moderna’s mRNA vaccine began two weeks ago, and both the biotech and fellow mRNA player CureVac have discussed similar, if not even faster, timelines for emergency use among healthcare workers.

Using lab-grown proteins that are engineered to mimic the architecture of viruses to induce an immune response, VBI Vaccines is joining the hunt for a coronavirus vaccine — harnessing technology that has initially been proved safe in early trials as a prophylactic for cytomegalovirus (CMV) infection.

Unlike the raft of the companies in the Covid-19 vaccine race — including Moderna, CureVac and J&J — VBI is taking a pan-coronavirus approach, by developing a vaccine that will encompass Covid-19, severe acute respiratory syndrome (SARS), and Middle East respiratory syndrome (MERS).

VCs love few things more than a proven executive team when it comes to launching a new company. And now a group of A-listers has turned to a pair of top execs out of AveXis to steer the latest gene therapy player into the clinic.

The biotech is Waltham, MA-based Affinia and the two execs are Sean Nolan and Rick Modi — the former CEO and CBO respectively of AveXis, the gene therapy pioneer that fetched $8.7 billion in a sale to Novartis. Nolan has now taken the chairman’s role at Affinia while Modi moves up to the CEO post at the company.

When Pieter van der Meer started raising the capital for Gilde Healthcare’s fifth fund in the waning months of 2019, he had his eyes on a different chain of events that could change the healthcare system and perhaps even play to his firm’s advantage: The US presidential election.

Since raising their third fund in 2011, the 34-year-old Dutch firm had focused on value-based care. They chose late-stage biotechs that came up with new devices and delivery systems for de-risked established compounds, and when they chose preclinical biotechs, they spoke with potential pharma partners, payers and regulators to ask where and at what prices the drug made sense. As the Democratic primary became a contest over how to lower healthcare costs, it looked like a strategy that could pay off.